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TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning.  Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: Seven out of the top ten global banks use TigerGraph for real-time fraud detection.  Over 50 million patients receive care path recommendations to assist them on their wellness journey.  300 million consumers receive personalized offers with recommendation engines powered by TigerGraph.  TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people.  This position is primarily remote, but location-based requirements may apply. If the selected candidate is located near one of our company offices, the candidate will have a hybrid work arrangement (2-3 days in-office). Job Responsibilities: Design and develop Kubernetes Operaror to deploy and manage TigerGraph; Work on observability aspects of TigerGraph cluster and the Kubernetes Operator; Provide a scalable and fault-tolerant design to scale TigerGraph clusters in Kubernetes; Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Minimum 5 years of hands-on experience with container technologies (Docker) and Kubernetes(k8s) preferred. Hands-on experience in developing Kubernetes operators. At least three years of development experience in related fields, solid programming skills, familiarity with Golang, or any other major programming languages. Skills and Knowledge: Familiar with Kafka or a similar messaging framework. Familiar with gRPC. Familiar with Zookeeper / ETCD / Consul or similar tools. Familiar with Linux and shell. Excellent problem-finding and problem-solving skills, good communication skills, good stress resistance, and team spirit. Familiar with multi-threaded programming. Good knowledge of distributed systems and trade-offs in designing them. Have deep OS knowledge and performance tuning experience. The anticipated salary range for candidates who will work in Redwood City, CA is $160,000 - $200,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, type and length of experience within the industry, education, etc. TigerGraph is a multi-state employer and this salary range may not reflect positions that work in other states.

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Background Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech . Area Overview The Data Exchange area is responsible for collecting, distributing, and orchestrating data movement into and out of Klaviyo and between Klaviyo domains through a variety of protocols and delivery mechanisms. In addition, we provide other engineering teams and 3rd-party developers with infrastructure and tools to easily build data syncing workflows. On a daily basis, we handle billions of interconnected data points with a wide range of freshness, consistency, and interoperability requirements. What You’ll Do Define technical strategy within the scope of Data Exchange and execute to improve the area's architecture, products, infrastructure, and processes. Contribute to defining strategic direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success. Lead the technical evolution of the area, overseeing multiple teams and ensuring alignment with your pillar objectives, company goals, and long-term strategy. Ensure technical designs are properly evaluated across multiple teams, provide and respond to thoughtful feedback across the organization to improve technical designs. Act as domain leader and the interface between a group of teams and the rest of the organization. Build relationships with stakeholders including customers, product managers, cross-functional partners, and external partners. Communicate the strategic direction and the rationale behind it to the entire organization. Strategize and execute independently and through others. Set direction for multiple teams in partnership with their managers. Manage and mitigate risks to plans. Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization. Who You Are 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems. Proven expertise in applying relevant design patterns to implementing highly-scalable multi-tenant systems. 8 years of experience testing, developing, and launching complex software products, and 5 years of hands-on experience in software design and system architecture, with a focus on reliability, fault-tolerance, and high performance. Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs. Exceptional communication skills, 4 years of experience disseminating a technical vision through multiple scrum teams and across the organization Solid foundation in data processing systems, experience with big data stack, and expertise in building stream/batch processing applications Familiarity with multi-dimensional data modeling, data change management, data warehousing, data governance concepts, and serverless data architectures. Experience mentoring seasoned engineers, focusing on leads and seniors with 7-12 years of experience. BA or BS Degree in Computer Science, related field, or equivalent experience. Our Tech Stack Python, Django, FastAPI Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack MySQL, PostgreSQL, Clickhouse, Redis Typescript, React, Babel, Jest, Webpack Graphite, statsd, Grafana AWS, Terraform, Docker, Kubernetes, Pantsbuild, Jenkins, Argo, and other modern DevOps tools We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Please visit Klaviyo Rewards to find out more about our Total Rewards package. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $220,000 — $330,000 USD Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

About this role: Pickle is seeking a dynamic Software Engineer to join the team who will focus on enhancing the speed and performance of our truck unloading robot. This role requires advanced expertise in robotics and machine learning to further elevate the intelligence of our systems. What You’ll Accomplish: Research, prototype, and develop functions and algorithms that unlock new capabilities for our autonomous truck unloading robots, allowing them to handle increasingly complex tasks with greater efficiency. Enhance the existing capabilities of our robots, driving improvements in both speed and reliability to optimize unload performance. Characterize the system’s performance across a vast quantity of data and use it to inform future work, building better understanding of the system’s current and potential performance. Collaborate with cross-functional software engineering teams to seamlessly integrate your contributions into broader hardware and software systems. Play a key role in designing and contributing to the architecture of scalable software systems that support the deployment of multiple robots in diverse and dynamic environments. Take ownership of key subdomains of the task planning system, providing context and guidance for fellow engineers who are less familiar with those aspects of the system Who You are: A seasoned Software Engineer with 3-5 years of experience, preferably within robotics or a closely related field. A graduate with a bachelor’s or master’s degree in robotics, computer science, or a similar discipline—Master’s degree preferred. An engineer with a proven track record in developing autonomous robotic systems. Highly proficient in object oriented programming with Python (or C++), with experience in other relevant languages as a plus. Experienced in motion and behavioral planning for robots or other autonomous systems, with a deep understanding of these key areas. Experienced in working with complex algorithms and data pipelines, capable of optimizing for performance and scalability. Some experience with aggregation and analysis of data, with a good eye for recognizing trends and turning them into actionable responses. A strong, clear communicator who centers discussion on ideas and experiments. Willing and able to work from our Cambridge, MA office at least three days per week. About Pickle Robot Pickle Robot is a pioneer in Physical AI for supply chain applications. Today Pickle robots autonomously unload trucks, trailers, and import containers at human-scale or better performance. The alternative is manual work that is difficult, dirty, sometimes dangerous, and increasingly hard to staff at distribution centers around the globe. Pickle Robot is laser focused on automating truck unloading using generative AI, machine learning, computer vision, advanced sensors, and industrial robotics to deliver engineered products customers rely on. Pickle Robot Unload Systems work alongside people on loading docks to make the work safer, faster, and more efficient. Pickle robots are physical AI that unload trucks. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.

At IMO, a team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals' access high quality health information that improves patient outcomes. We’re seeking a Senior Software Engineer to build high availability applications that power the extraction, enrichment, and structuring of clinical data, delivering value across the healthcare ecosystem. You’ll collaborate with engineering, product, and architecture teams to deliver reliable, scalable solutions, write clean and testable code, and support CI/CD best practices. We value engineers who are proactive, passionate about their craft, and eager to solve complex challenges together. This role is part of a team dedicated to developing high-availability products on the Content and Data Management Platform. WHAT YOU’LL DO: Provide hands-on technical leadership across the full software development lifecycle while mentoring engineers and guiding team growth and performance Lead by example in designing, building, and maintaining complex, scalable, distributedand responsive web applications Translate UI/UX design wireframes into high quality code Architect and implement robust end-to-end tests, componenttests and unit tests Be comfortable navigating AI technologies (Agents, Prompt Engineering, LLM’s) and identifying practical ways to apply them to enhance product functionality, user experience, or operational efficiency. Have experience in cloud infrastructure, DevOps practices, CI/CD tooling, and support platform scalability Improve the team’s technical landscape by identifying and addressing technical debt, system performance, and reliability opportunities Participate in and contribute to working groups and communities of practice Collaborate with product and architecture teams to develop technical solutions that are viable and aligned with long-term goals Support efficient estimation of technical work for product change requests to assist the Product Owner in planning Champion the team’s adherence to technical standards and ensure alignment with architectural direction Actively collaborate across the broader product group to solve cross-cutting technical challenges and promote knowledge sharing Foster a team culture rooted in ownership, innovation, continuous learning, and psychological safety Act with initiative, anticipating needs, raising issues early, and driving forward-looking technical solutions WHAT YOU’LL NEED: BA/BS in a relevant technical field and 5+ years of progressive engineering experience Strong UI development skills with state management patterns/libraries and advanced proficiency in Angular (16+), TypeScript, JavaScript, HTML, and CSS/SCSS Experience with Cypress and NgRx for testing and frontend state management Backend/API development in C#, .NET, plus familiarity with Python, Golang, and GraphQL Strong communication and collaboration skills with the ability to translate technical concepts for diverse audiences and influence outcomes Deep knowledge of engineering best practices including coding standards, testing, code reviews, design patterns, source control, and operations Tech stack familiarity: Angular, Typescript, Javascript, HTML, CSS, C#, .NET, Python, AWS, Terraform, Octopus Deploy, Azure DevOps, React, New Relic, and Kendo UI Bonus: Experience in healthcare or health IT Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page .

Intelligent Medical Objects (IMO) (Houston, TX) seeks a Manager of Software Engineering to be responsible for team productivity and career development, help execute the NLP and GenAI strategy which aligns with our product and technology roadmap and provide technical leadership, strategy, and architectural vision to their team. Specific Duties Include: Oversee the design, implementation, and optimization of AI and NLP solutions, ensuring scalability, high availability, compliance, and security in line with industry standards such as HIPAA, SOC 2, and other relevant regulations Collaborate with stakeholders to define AI and NLP strategies, aligning technical efforts with business objectives Lead research initiatives on Large Language Models (LLMs), exploring novel architectures, techniques, and methodologies Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate research findings into practical, user-centric applications Provide strategic direction for the adoption and integration of cutting-edge AI technologies Establish and maintain best practices for AI/ML and NLP development, focusing on scalability, reliability, and performance of AI-driven products Manage project timelines, resource allocation, and budgetary oversight, ensuring projects deliver high ROI and positively impact product functionality and user experience Collaborate with product management and other stakeholders to prioritize features and align resources effectively Cultivate a collaborative, innovative work environment, fostering continuous learning and upskilling in AI and NLP technologies Mentor team members, providing guidance on technical and professional growth Ensure AI solutions are developed and deployed in alignment with ethical standards, especially concerning the handling of sensitive healthcare data Maintain compliance with healthcare regulations, ensuring that AI applications meet all necessary legal and ethical requirements Required travel to Chicago, IL office once per quarter Position Requires: A Master’s degree, or foreign equivalent, in Computer Science, or a closely related field of study, plus 5 years of experience in the job offered, or as a Software Developer, Software Engineer, or Machine Learning Engineer. Must have 3 years of experience in the following : * NLP, AI, ML, or advanced data science * Working in the healthcare or life sciences domain with a focus on NLP or Generative AI (GenAI) applications * Developing distributed and scalable systems, with a focus on high-volume transaction applications * Working in a leadership or technical SME role * Working with cloud platforms such as AWS, Azure, and Google Cloud, and infrastructure-as-code tools * Working with network, system, and virtualization technologies * Working in an Agile development environment, including close collaboration with cross-functional teams Must have 2 years of: * Hands-on experience with LLMs such as GPT, Claude, LLaMA, or similar models. Specific experience must also include: * Leading and growing multidisciplinary teams by managing data scientists, software engineers, and researchers while fostering strong management practices, coaching, and mentoring to drive effective collaboration * Developing AI and NLP solutions by applying machine learning algorithms, including classification, regression, clustering, model selection, and feature extraction, while utilizing NLP frameworks like TensorFlow, PyTorch, and cloud-native AI/ML services * Leveraging technical expertise in programming languages like Java, Python, and JavaScript to design, develop, and optimize scalable, high-quality AI and NLP systems * Driving healthcare and pharmaceutical AI projects by delivering solutions for clinical trials, systematic literature reviews, and healthcare concept mapping, while ensuring compliance with HIPAA and other relevant regulations * Working with the full software development life cycle (SDLC), such as planning, requirements analysis, design, development, testing, deployment, delivery, operations, and maintenance * Developing best practices including coding standards, code reviews, version control, build processes, and testing workflows Required travel to Chicago, IL office once per quarter #LI-DNI Full time position. Apply by submitting your resumes at https://www.e-imo.com/careers , Job ID: ___555______

About Kumo.ai Kumo is building a next-generation AI platform that empowers organizations to make predictive decisions faster—without the overhead of traditional ML pipelines. Backed by Sequoia and led by ex-Airbnb, Pinterest, and LinkedIn leaders, we’re scaling rapidly and looking for a cloud infrastructure engineer to build and run the backbone of our AI platform. Your work will directly power the models and applications our customers rely on every day. If you’re passionate about multi-cloud infrastructure , Kubernetes at scale , and building the infrastructure that powers the next generation of AI applications — we’d love to talk. Why Kumo.ai? Work alongside world-class engineers & scientists (ex-Airbnb, Pinterest, LinkedIn, Stanford). Be a foundational voice in designing a platform powering enterprise-scale AI. Competitive Series B compensation package (salary + meaningful equity). The Opportunity - The Cloud Infrastructure team builds and operates our Kubernetes-based, multi-cloud AI platform across AWS, Azure, and GCP. As a Cloud Infrastructure Engineer , you’ll work on scaling, securing, and optimizing the platform that powers massive multi-tenant clusters running Big Data and AI/ML workloads. You’ll collaborate closely with senior engineers, ML scientists, and product teams to deliver automation, improve reliability, and expand our multi-cloud capabilities. This role offers the chance to deepen your Kubernetes and cloud expertise while taking ownership of impactful projects. What You’ll Do Deploy, operate, and maintain infrastructure across AWS, Azure, and GCP. Build and manage Kubernetes clusters (EKS, AKS, GKE) with a focus on performance, availability, and cost efficiency. Develop and maintain automation using Infrastructure-as-Code tools (Terraform, Pulumi, Crossplane). Implement and enhance GitOps workflows using Argo CD or Flux. Set up and maintain observability systems (Prometheus, Grafana, OpenTelemetry) to monitor workloads and clusters. Collaborate with the team to design, test, and roll out improvements to scaling and reliability. Troubleshoot incidents and participate in on-call rotations to ensure platform uptime. Contribute to security best practices, including RBAC, tenant isolation, and cloud identity management. What You Bring 3–5 years of experience building or operating cloud-native infrastructure in production. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and (preferably) exposure to multi-cloud environments. Solid understanding of Kubernetes concepts and operational experience with production clusters. Proficiency with Infrastructure-as-Code tools (Terraform, Pulumi, or similar). Experience with GitOps workflows and tools like Argo CD, Flux, or Argo Workflows. Familiarity with monitoring, logging, and tracing for distributed systems. Scripting or programming skills in Python, Go, or Bash. Strong problem-solving skills and a collaborative approach. Nice to Have Experience with multi-tenant Kubernetes clusters for AI/ML or big data workloads. Knowledge of compliance and security standards (SOC2, GDPR, ISO27001). Contributions to open-source cloud-native projects. Familiarity with Kubernetes operators, controllers, or custom resources. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The Company: Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes , and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us deliver the future of automation. Job Summary: Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons : every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level. Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our Culture: We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect. Responsibilities Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops Involvement in new project planning Prerequisites Strong programming skills in Python Software engineering tooling: git, unix shell, etc Collaborative nature and social skill set Interest in robotics, AI, solving hard problems, or improving the future of humanity Passion for building things (and just getting stuff done) Nice to Haves Experience building web applications with React Background or interest in ML or robotics Experience leading teams and projects

At Wolverine Trading we’re looking for a Low-Level C++ Software Engineer to work at the intersection of hardware and software. Your focus will be on improving the performance of our critical and ultra-low latency trading systems, working on all parts of the trading systems stack. What You'll Do: Develop and improve performance-critical C++ applications, ensuring ultra-low latency and high throughput Collaborate with FPGA engineers, hardware specialists, and systems teams to push performance boundaries Analyze and resolve real-time system issues, improving the reliability and stability of our trading platforms Build tools to monitor, profile, and analyze the performance of systems at every level What We’re Looking For: Bachelor's degree in Computer Science, Computer Engineering, or equivalent A minimum of 2+ years of professional C++ experience with a focus on high-performance applications Strong grasp of data structures, algorithms, and modern C++ practices (C++17/20) Experience and aptitude in multi-threaded programming and performance tuning Ability to analyze experimental results and optimize system performance Effective communication skills, with the ability to effectively engage both technical and non-technical stakeholders Most importantly: a drive to make things better The total compensation range for this role is approximately $130,000-$180,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus. A Statement on Prior Trading Experience: With an above average rate of tenure for our engineers, we value individuals who innately strive to push boundaries and pursue constant improvement. Given a long-term focus, the ability to innovate, challenge limits, and deliver lasting impact matters far more to us than prior exposure to the trading ecosystem. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Why Wolverine? Wolverine Culture: Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff (don't worry, they won't be wearing a suit either). While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges. Wolverine Benefits: · Highly competitive salary & bonus opportunity · Generous paid time off and flexible scheduling · 100% coverage of medical, dental, vision, life, and disability benefits for single coverage · Generous Paid Parental Leave · Retirement Plans: 401K and Roth 401K · Profit sharing plan · Long- and short-term disability Perks of being at Wolverine: · Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!) · On-site gym with a subsidized membership · Frequent company outings · Opportunity to give back to organizations that help individuals in need in the Chicagoland area Professional Development: · In-house education team – classes and resources are offered for continuous learning opportunities · Mentorship Program through your first six months of employment About Us: Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with an office in New York and a proprietary trading affiliate office located in London.

We are seeking an experienced and highly skilled Senior Software Engineer with a proactive growth mindset to join our core trading technology team as a Technical Lead. In this critical role, you will be instrumental in designing, developing, and optimizing the ultra-low latency, high-throughput systems that power our trading strategies. This is a unique opportunity to work across the full software development lifecycle while closely collaborating with quantitative researchers to improve our ability to provide low latency intelligence to our trading systems. As a Technical Lead, you will guide technical direction and mentor team members, driving the evolution of our trading infrastructure. While prior experience with market data is a plus, it is not a requirement for this role. We are looking for someone with strong operational expertise who is capable of ensuring reliable and performant systems, efficient troubleshooting, and driving improvements in our production environment to support trading opportunities. This is an opportunity to directly impact our trading capabilities and contribute to a team that pushes the boundaries of speed and efficiency in financial markets. Key Responsibilities: System Design & Development: Lead the architectural design and hands-on implementation of core components for our electronic trading platform, including exchange connectivity, market data handlers, order execution engines, and risk management systems. Performance Engineering: Drive initiatives to continuously optimize the latency and throughput of our trading applications. This involves deep performance analysis, profiling, and tuning at all levels of the stack – from operating system interactions and network protocols to efficient algorithm design and hardware utilization. Collaboration & Innovation: Partner closely with quantitative researchers and traders to translate sophisticated trading strategies into highly optimized and reliable software, ensuring technical solutions align directly with business goals. Research and evaluate new technologies to keep our trading infrastructure at the forefront. Reliability & Support: Build fault-tolerant and resilient systems. Participate in the entire software lifecycle, including deployment, monitoring, and providing expert-level support for critical production systems to ensure maximum uptime and stability. Code Quality & Best Practices: Uphold and champion high standards for code quality, testability, and maintainability through rigorous code reviews, automated testing, and adherence to modern software engineering principles. Mentorship: Act as a technical leader and mentor to less experienced engineers, sharing knowledge, guiding development efforts, and fostering a collaborative and growth-oriented environment. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a closely related technical field. 5+ years of professional experience in software development, with a strong emphasis on high-performance, low-latency systems. Expert-level proficiency in modern C++ (C++17/20 preferred) , with a deep understanding of multi-threading, concurrency, memory management, and optimization techniques. Solid understanding of operating system internals (Linux preferred), network programming (TCP/IP, UDP, multicast), and hardware interactions. Demonstrated experience with system-level debugging, profiling, and performance tuning tools. Strong foundation in data structures, algorithms, and computational complexity. Experience with scripting languages like Python for automation, analysis, and tooling. Excellent problem-solving skills and the ability to troubleshoot complex issues in a real-time, demanding environment. Strong communication skills, capable of effectively collaborating with both technical and non-technical stakeholders. Proactive, self-motivated, and able to take ownership of projects from concept to deployment. Preferred Skills: Prior experience in financial technology, high-frequency trading, or market making. (e.g. Solarflare/Mellanox NICs, kernel bypass, etc.) Familiarity with specific exchange protocols and scale (e.g. ITCH/ITTO, PITCH, OPRA, etc.) Familiarity with tooling and monitoring (e.g. Wireshark/pcap, perf tools, grafana) Exposure to distributed systems and messaging technologies. Knowledge of various asset classes (equities, options, futures) and market microstructure. Experience with hardware acceleration (FPGA/GPU programming). The target base compensation range for this role is $150,000 to $200,000. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus. A Statement on Prior Trading Experience: With an above average rate of tenure for our engineers, we value individuals who innately strive to push boundaries and pursue constant improvement. Given a long-term focus, the ability to innovate, challenge limits, and deliver lasting impact matters far more to us than prior exposure to the trading ecosystem. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Why Wolverine? Wolverine Culture: Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff (don't worry, they won't be wearing a suit either). While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges. Wolverine Benefits: · Highly competitive salary & bonus opportunity · Generous paid time off and flexible scheduling · 100% coverage of medical, dental, vision, life, and disability benefits for single coverage · Generous Paid Parental Leave · Retirement Plans: 401K and Roth 401K · Profit sharing plan · Long- and short-term disability Perks of being at Wolverine: · Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!) · On-site gym with a subsidized membership · Frequent company outings · Opportunity to give back to organizations that help individuals in need in the Chicagoland area Professional Development: · In-house education team – classes and resources are offered for continuous learning opportunities · Mentorship Program through your first six months of employment About Us: Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with an office in New York and a proprietary trading affiliate office located in London.

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. As a Space Operations Engineer (Embedded) in our Payload Engineering Team, you will be working on creating the services to control our Satellites. Reporting directly to our VP of Payload Engineering and working closely with our Analytics, Software and Product Teams, you will help build out the tools, processes and products critical to our customers' success. What you'll do Model tasking scenarios for a constellation of hyperspectral satellites Perform trade studies on orbit positioning and maneuvers to maximize satellite coverage Interface with the operations and software team to successfully execute targeted tasking with multiple space-based sensors Test operations plans on ground hardware testbeds, and improving ground software test processes Work with the OSK product team to deliver high fidelity constellation tasking plans Verify and Validate tasking plans and spacecraft health and status Troubleshoot and resolve payload on-orbit anomalies and findings Optimize camera and optical systems to extract critical insights Develop detailed understanding of onboard flight software hardware and software interfaces Work with OSK’s algorithm team to implement onboard algorithms to high-bandwidth data-streams Develop OSK’s data ingestion and processing capabilities for satellite as well as aerial hyperspectral images Work with GPU cores to implement on-the-fly data corrections using a neural network Incorporate payload and spacecraft bus command and control schemes What you’ll have BS in Aerospace/Mechanical/Astronautical engineering or Computer Science 3+ years of experience in the Aerospace/Space industry Strong skills in C, C++, Linux Operating System on ARM Spacecraft operations experience, downloading and uploading spacecraft control parameters Ability to code in python for scripting, automation and algorithm integration purposes Experience using software APIs to receive and send telemetry data Knowledge of embedded communication protocols to control hardware sensors Strong skills in data processing pipelines and algorithm runtime optimization You'll stand out as a candidate if you have MS in Aerospace/Astronautical Engineering or Computer Science Familiarity with scalable software solutions Health and Status monitoring of software systems Firm understanding of optics, optical alignment, and spacecraft control Experience with remote sensing data Expertise in python and C++ software development Orbital Sidekick's compensation packages are determined based on multiple factors including business requirements, experience and location. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

We're looking for a Senior Software Engineer with a focus on healthcare data and at least 5 years of general engineering experience who wants to make an impact leading our new Clinical Data team. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery. *If you want to tackle tough technical challenges* , we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale and the constraints of a distributed labor force working in patients’ homes and things get interesting quickly. We need someone to help solve the hard problems like how to: 🔍 Uncover care gaps and predict future risk with deep analysis of patient records 📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over past patient records 📊 Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans 🤖 Detect and prevent medical data errors with automated validation and anomaly detection 🏗️ Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth. Since just 2021, we've grown to: 👥 >50k patients served 🚀 6x revenue growth last year, 5x the year before 🌍 >60% coverage of the US population 🏥 6 of the 10 largest US health plans 🏦 >$70M raised from a16z, General Catalyst, GV, and Accel *If you want to grow faster than you ever could at a big company* , we want to talk to you. If you're a fellow industry veteran looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As one of the lead engineers at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success. *If you want to make a difference* , we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company. If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat. Cameron, Co-founder / CTO Software Engineering & Data Integration Full-stack experience, backend-focused. Proficiency in Python or JavaScript/TypeScript (Preferred). Third-party data integration: Normalization, standardization, and harmonization of inbound data; outbound translation to customer-specific formats. Data Systems & Databases Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools. Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations. Observability: Monitoring & alerting best practices. Database expertise: Relational, key-value, columnar, document, vector, inverted index, and in-memory databases. Data warehouse schema design (Nice to have). Healthcare Data Administrative: Claims processing OR Clinical: EHR data, FHIR, HL7, C-CDA standards. Technical Leadership & People Management Technical leadership: Successfully led technical team project implementations. Mentorship & coaching: Ability to guide and develop engineers. Work delegation & execution: Breaking down and distributing tasks effectively. People management experience (Nice to have). Technologies ETL/ELT: AWS Glue, Airflow, or similar tools. Datastores: BigQuery, ELK Stack, DynamoDB, other data warehousing tech. Data exchange/integration: Mirth Connect or similar tools. The Fun Stuff™ Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar Team offsites, game hours, tech talks, and design sprints Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid) Dental / vision/wellness benefits 401k matching Unlimited PTO Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days) Relocation assistance Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid) Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits. This is a hybrid role with a 3-day-a-week in-office requirement in Menlo Park, California. While we are flexible with occasional work from home, we've built an incredible group of people who enjoy the team environment we've created, and our engineering, product, and design organizations are all currently co-located in the Bay Area. If you are inspired by our mission and think you could have an impact on us achieving it, but currently sit outside of these role expectations, we encourage you to still get in touch.

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this role: We are seeking an experienced Senior Software Engineer to join our Perception team within the Autonomy Software organization. This role centers on developing advanced deep learning models that power object detection, segmentation, and tracking using camera and lidar data for Cyngn’s autonomous forklifts. A key responsibility will be designing, training, and deploying multi-modal perception models to detect and localize pallets in diverse warehouse environments, enabling reliable pallet engagement and stacking. Additional experience with model acceleration techniques, building model development infrastructure, and ownership of the end-to-end model lifecycle—from research and training through deployment in production—is considered a strong bonus. Responsibilities Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data. Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development. Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments. Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation. Qualifications MS/PhD in computer science, computer engineering, robotics, or similar technical field of study. 4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc. Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization. Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking). Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc. Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc. Excellent written & verbal communication skills. Bonus Qualifications Proficiency in C++ for robotics or real-time applications. Hands-on experience with model acceleration or compression (TensorRT preferred).Experience utilizing foundation models (e.g., SAM, CLIP) to expedite training and development cycles. Strong classical computer vision skills (e.g., image processing, feature extraction, geometry-based methods) to complement deep learning approaches. Experience with leveraging IsaacSim synthetic data to augment real-world datasets and accelerate model development. Exposure to industrial material handling autonomous vehicles including forklifts and tuggers operating in dynamic warehouse environments. Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this role: We are seeking a highly skilled and motivated Senior Simulation Software Engineer to join our Behavior team within the Autonomy Software organization. This role focuses on modeling the physical and dynamic behavior of our autonomous industrial vehicles and their interaction with warehouse environments. A key responsibility of this role will be to lead the integration of multi-body dynamics models generated using external physics modeling tools into our simulation environments, enabling higher-fidelity testing and behavior validation. You will work closely with behavior, perception, and hardware team members to ensure that our simulated vehicles behave consistently with their real-world counterparts, supporting both planning and control validation. While the core focus is on modeling vehicle dynamics, experience with simulation-based regression testing of autonomous systems and/or sensor modeling is considered a strong bonus. Responsibilities Design, implement, and validate both physics-based and data driven models of vehicle motion, including drive, steer, braking, and load-handling behaviors. Integrate externally developed models - exported via FMU or equivalent standards - into Cyngn simulation environments. Model contact interactions between the vehicle and the environment, including pallet engagement, ramp handling, and frictional effects. Tune dynamic parameters to match real-world vehicle responses using log data and system identification techniques. Build tools to assess performance and identify simulation realism gaps across large datasets. Partner with Simulation Infrastructure engineers to expose modeling components via robust APIs, configuration systems, and test frameworks. Qualifications M.S/PhD with a focus in Mechanical Engineering, Robotics, a related technical field, and/or equivalent practical background. 3+ years of experience contributing to the simulation of robotics or automotive systems with a focus on vehicle dynamics modeling. 3+ years writing C++ and Python software in production environments (architecture, design, testing, performance optimization, etc.). Demonstrated ability to integrate and validate externally authored dynamics models (e.g., FMUs or equivalent) into simulation environments. Solid understanding of multi-body dynamics, control theory, robotic system architecture, and autonomous vehicle behavior analysis. Strong written & verbal communication skills with a proven track record of delivering production quality software in a collaborative, cross-functional team setting. Comfortable with modern software development tools and workflows, including version control (Git) and project management platforms (e.g. Jira) Bonus Qualifications Experience using MapleSim for developing Functional Mock-up Units (FMUs) for model exchange and co-simulation Familiarity with NVIDIA Omniverse/IsaacSim for simulating robotic systems, applications, and complex environments. Proficiency using ROS in production robotics applications with exposure to ROS2 and/or other publish/subscribe middleware architectures. Strong understanding of theoretical concepts in classical and/or data-driven AI methods for perception and behavior in autonomous systems. Exposure to industrial material handling autonomous vehicles including forklifts and tuggers with cart-trains under dynamic loading conditions. Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com , Target.com , eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com . Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®. We’re looking for a Sr Software Engineer to be part of a small, scrappy, autonomous team, building and owning processes that will impact millions of dollars in revenue as they partner with the Pattern Creators team. Creators is a software-as-a-service product within Pattern's ecommerce acceleration platform that offers a seamless solution for brands looking to build their ambassador programs, maximize their influencer marketing, and increase their revenue. This is a full-time role and will work a hybrid schedule in Lehi, Utah. Frequently Asked Questions What is a day in the life of a Senior Software Engineer? Architect and implement AI-powered features and user experiences within a modern web application Collaborate with product, design, and engineering to identify opportunities for AI-driven solutions Integrate large language models, recommendation engines, and other AI/ML components into production systems Drive technical design discussions for integrating AI into web and backend systems Partner with ML engineers, data scientists, and other stakeholders to ship AI features that improve user engagement and drive business outcomes Mentor team members and help drive adoption of best practices for AI development What will I need to thrive in this role? -Degree in Computer Science, Information Systems, or a related field -5+ years working with JavaScript/TypeScript (ReactJS and Node.js preferred) -3+ years developing in Python for backend or AI/ML applications -1+ years building and deploying AI-driven features in production systems (e.g., integrating LLMs, recommendation engines, generative AI, or other smart features) -Strong experience with ORM (Object Relational Mapping) tools -Strong SQL skills and relational database experience (preferably with MySQL) -Experience with cloud (AWS preferred) for deployment and scaling -Experience writing integration and unit tests What does high performance look like? -Experience with Redis, Elasticsearch, or messaging queues -You are able to build scalable solutions to software issues -You have experience with messaging queues -You follow through with all assignments in a timely manner -You give 100% to all tasks and projects you are given -You will take full ownership of your projects and follow through to completion What does success look like in the first 30, 60, 90 days? After onboarding and training on our existing projects and systems you will jump right in and take ownership of tasks, feature requests, and support for our existing customers. We believe the best way to integrate with the team is by doing! Initially you will work closely with other team members: pair programming, feature planning, and reviewing new code. By 60 days you will be independently shipping new features and by 90 days you will help support other new hires and more junior team members. What is the team like? The team is composed of 16 software engineers, including the Director of Engineering, with whom you will interact regularly. You will work cross-functionally with Client Success, as well as a Technical Project Manager, who will dictate projects and timelines. This team is data driven and results oriented. You will collaborate regularly with members of your team to implement actionable solutions. Ideas and input are encouraged from all members. Sounds great! What’s the company culture? We are looking for individuals who are: Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes. Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data. Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern. Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners. What is the hiring process? Initial phone interview with Pattern’s talent acquisition team Technical Interview with a member of the team Video interview with a hiring manager Professional reference checks Executive review Offer How can I stand out as an applicant? Be prepared to talk about professional accomplishments with specific data to quantify examples Be ready to talk about how you can add value and be the best addition to the team Focus on mentioning how you would be partner obsessed at Pattern Be prepared to talk about any side projects related to data and analytics Why should I work at Pattern? Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include: - Unlimited PTO - Paid Holidays - Onsite Fitness Center - Company Paid Life Insurance - Casual Dress Code - Competitive Pay - Health, Vision, and Dental Insurance - 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. What You May Work On: Prediction : Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions Mapping & Localization : Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions Planning & Control : Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms Simulation Core : Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies Qualifications: MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date between December 2025 and June 2026 . Proficient in C++ and/or Python with knowledge of its latest features. Strong analytical and problem-solving skills. Excellent communication, and cross-functional team collaboration abilities. Passion for innovation in the autonomous vehicle industry. Bonus Points: Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA. Proficient in machine learning frameworks, such as TensorFlow or PyTorch. Experience in open-source competitions or challenges related to autonomous driving. Team Introductions: Prediction Team: The Prediction team liaises with the perception team upstream and the planning and control team downstream. We develop diverse deep learning models using perceptual information to forecast potential future behaviors of nearby obstacles. In scenarios lacking sufficient data, the prediction team generates predictions and supplements through analysis of scene features and logical reasoning. Planning and Control Team: The main goal of the planning and control team is to find safe driving strategies in complex autonomous driving environments. We ensure safe, efficient navigation by designing algorithms for route planning and vehicle control to respond to dynamic conditions. Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving. Mapping and Localization Team: The mapping and localization team is responsible for high-definition mapping and high-precision localization systems for our entire autonomous fleet. We provides down-stream modules, e.g. perception, prediction, planning and control, with accurate and real-time positioning as well as detailed geometric and semantic information of the surroundings, to help the autonomous vehicle navigate the world. A variety of underlying technologies are employed to build the mapping and localization systems, including multi-sensor fusion, visual/lidar SLAM, 3D computer vision and deep learning. Sim Core Team: The Sim Core group focuses on developing the core simulation capabilities necessary to support company-wide AV development and validation. This team will work on our overall simulation strategies, sensor simulation for perception, AI simulation for prediction, planning and control, full-stack simulation, and the generation and editing of 3D worlds. Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. In our internship program, you will: Work alongside world-class engineers to develop, implement, and maintain cutting-edge software for autonomous driving systems. Depending on the team you join, your project responsibilities will vary, giving you exposure to a range of exciting, impactful challenges. You will collaborate with your manager, mentor, and team to drive innovation and make significant contributions to the advancement of autonomous driving technology. Potential responsibilities include: Build real-time, in-vehicle systems that ensure the AV operates safely and efficiently in its environment. Design and develop new features to continuously optimize computational performance, and create tools to assist other teams by proactively informing developers of potential performance issues. Optimize for efficient model deployment, enhance the machine learning workflow, build and support large-scale model evaluation systems. Develop high-performance GPU/CPU kernels by utilizing low-level hardware features and knowledge of performance characteristics. Work with multiple algorithm teams and optimize efficient algorithms for self-driving vehicles Qualifications: Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, Robotics or a related technical field, with an expected graduation date between December 2025 and June 2026. Proficient in C++ and/or Python, Java, Go with knowledge of its latest features. Have good programming practices, adhere to coding standards, and follow test-driven development. Strong analytical and problem-solving skills. Excellent communication, and cross-functional team collaboration abilities. Passion for innovation in the autonomous vehicle industry. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 3 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! At WeRide , interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2025. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship, hands-on training, and engage in fun team-building activities as well as interactive workshops, enhancing both professional and personal growth.

As a Software Engineer, you’ll help us build out our core product by developing high-impact, user-facing features. In our engineering organization, you’ll be a driver for positive change in our engineering culture, processes and technology. You will be a strong voice in product planning, drive the implementation and release of major features, and be a champion of best practices for writing well-tested, well-organized code. You’ll become familiar with all parts of our stack. You will exercise judgment in making tradeoffs between design and feasibility. You’ll engineer your features to be scalable and resilient in a complex, single-page application. We believe that user-centric design ultimately leads to the best products, so we listen closely to our users, both external and internal. As an engineer on our close-knit, cross-functional team, you’ll be an active voice in shaping our product. We are constantly rolling out high-demand features and tackling ever greater challenges of scale. You’ll join a team where everyone — including you — is knowledgeable about development patterns and cares about the product development process. Responsibilities Work closely with product management, design, and internal teams to understand customer needs Write concise code and sensible tests Own and develop new features Have the opportunity to explore and build features across the entire technical stack, from the database all the way to the clients Design large-scale systems that keep things running smoothly Get a balanced, supportive, fun working environment, and career path Requirements 4+ years of solid, practical experience Strong knowledge of CS fundamentals and code organization Experience in or desire to learn Javascript, Rails, React, Python, iOS, and/or Android A Computer Science or other technical degree Expertise in at least one object-oriented language, and associated web framework. Don't worry about which one— we'll train you in Ruby (and Rails)

About Mashgin At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives. Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we’re already profitable. And we’re just getting started. We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun. Position Summary Mashgin is looking for a smart, driven engineer who’s fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. You’ll work on a small dynamic team to design and implement state of the art deep learning techniques for Mashgin products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your team’s job to turn this data into automated solutions. You Will Be Developing solutions for real-world computer vision problems Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data Finding the optimal balance between doing longer term research and applying research results to production code Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data Minimum Qualifications 5+ years relevant coding experience B.S. or higher in Computer Science or related field Strong background in Machine Learning or Computer Vision Excellent knowledge of either Python or C/C++ Preferred Qualifications MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field Strong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etc Experience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, Theano Experience in a fast-paced work environment, shipping quality code quickly and iterating What We Offer An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries Excellent health, dental and vision insurance for you and your dependents 401k plan Flexible PTO policy Catered lunch in office with fully stocked snacks and beverages Pet insurance for your fur babies Voluntary life insurance plan Competitive salary and options in a small, rapidly scaling company For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $225,000 - $350,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives. Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

About Mashgin At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives. Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we’re already profitable. And we’re just getting started. We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun. Position Summary We’re looking for a software developer to help us build the software that runs our kiosks and powers the extensive infrastructure behind them. We’re looking for folks with an interest in building products and tools, and comfortable in dealing with lots of moving pieces. You’ll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. This is not a specialized position -- we believe in end-to-end ownership of projects, so you’ll be involved throughout the entire product lifecycle, from idea generation, design, and prototyping to execution, and shipping while contributing to many different parts of the codebase in multiple languages. You Will Be Owning major feature development and working directly with the founders on product development from end to end Working with a small interdisciplinary team in hardware, software and design to build new versions of products from scratch Work full stack on building new features and dreaming up new architecture to solve challenging problems Rethinking and recreating existing codebases for scale Continuously improving and maintaining code that’s already in production Minimum Qualifications 8+ years relevant coding experience B.S. or higher in Computer Science (or equivalent work experience) Excellent knowledge of one or more of these languages: Python, Node.js, C++, Go, C#, Java Comfortable learning new languages, libraries, and frameworks when the solution calls for it Experience building production-ready code that’s used regularly by lots of people Preferred Qualifications Experience in a fast-paced work environment, shipping quality code quickly and iterating Comfortable with deploying and managing cloud infrastructure Good knowledge of algorithms and data structures Strong proficiency with SQL and other database technologies What We Offer An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries Excellent health, dental and vision insurance for you and your dependents 401k plan Flexible PTO policy Catered lunch in office with fully stocked snacks and beverages Pet insurance for your fur babies Voluntary life insurance plan Competitive salary and options in a small, rapidly scaling company For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $225,000 - $350,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives. Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.