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Who We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week. Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption. Minimum Qualifications A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. At least 2 years of industry experience in building and deploying production-level machine learning models. Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models. Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. Ideally, You'd Have Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. Familiarity with cloud platforms like GCP or Azure. Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. Good understanding of software development principles, data structures, and algorithms. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. The ability to work collaboratively in an extremely fast-paced, startup environment. For California Based Candidates The standard base salary for this position is $135,000 to $200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Our software engineers are determined to build the most fun, convenient and social experiences for our customers. We are also building products for our restaurant partners to grow their customer base and improve their operations. At Snackpass, you will talk to customers, find and fix pain points on the fly, and build extensive internal tooling to support on-the-ground launch operations. You will be building a scalable payments platform that handles marketplace transactions between users and restaurants: automated payouts, promotions, customer analytics and acquisition tools, and recommendations. We believe operating a brick-and-mortar restaurant should be as easy as operating an online Shopify store. Most local business still run on legacy systems. At Snackpass, we are building the OS for local commerce.

Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We’ve redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth Ignite Digital, has an exciting opportunity for an Experienced Software/Database Developer in Charleston, SC to support our client engagements within the federal government. The ideal candidate is a self-starter with strong hands-on experience with software development within the federal government and a strong work ethic. This position serves an important role in supporting a DevSecOps software development program and producing business process improvements. The individual will implement “best in class” software development solutions. Responsibilities: Translate application requirements to fully functional software solutions for the end-user. Implement modern web technologies including HTML5, CSS3, and JavaScript to build dynamic and interactive front-end applications. Collaborate with UI/UX designers to translate wireframes and mockups into accessible, user-friendly, and visually appealing interfaces. Integrate front-end applications with RESTful APIs, specifically working with Django REST Framework (DRF) for seamless back-end communication. Ensure high-quality code with best practices, optimizing performance and scalability. Utilize Docker for containerization and application deployment workflows. Use Git for version control, ensuring efficient team collaboration and code management. Qualifications: Active DoD security clearance BS degree in Computer Science, Information Systems, Business Administration or other related discipline. Five (5) years of experience in required software development technologies. Expertise in a wide range of software and database programming languages. Experience in building the database, based on approved design, and industry best practices. Familiarity with setting up Role-Based Access Control (RBAC) systems for enhanced security and user management. Experience in developing and maintaining unit-tests for all coded functionalities Security+ certification Salary: $90k+ to align with education and experience Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit https://bit.ly/2XqZoLM (CA) or https://bit.ly/3Eo922f (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster

We are looking for a Technical Sourcer who is interested in joining a world-class sourcing team. This team will be tasked with scaling our talent pipeline and be a force multiplier for our recruiting team. In this role, you will help talent map and drive sourcing strategy for a diverse set of systems engineering roles. You will be given the independence and ownership to set strategy in pipeline building for the teams you support. This position requires an uncommon balance of teamwork, dedication, and interpersonal skills. You will be expected to act as an ambassador of the brand and have the ability to deliver results in a fast-paced work environment. Most importantly, you must have a genuine passion for the Zoox mission. Responsibilities Qualify and understand job requirements Source and screen resumes, and evaluate candidates to determine fit Build a pipeline of engineering talent with recruiting partners to meet company needs and priorities Qualifications 4+ years of full cycle sourcing experience Ability to evaluate technical aptitude and screen candidates for both technical and behavioral fit Tech and industry knowledge with the ability to understand relevant skills and companies within the industry Consultative and interpersonal skills with ability to communicate across all levels of the organization Bonus Qualifications Experience recruiting/sourcing systems or software positions Experience working for a recruiting agency or sourcing in-house Experience working directly with hiring managers and senior engineering leadership Location This hybrid role entails working in the office three days per week in our Foster City office (HQ). Compensation This is a contract position and employment for this position will be through a vendor contracted with Zoox. The pay range for this position is $57 to $77 per hour and you will be eligible for a benefits package as offered by the vendor. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design Strong mathematics skills Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related venues Prior experience with Prediction and/or autonomous vehicles or robotics in general Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals. For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating human behaviors, specifically traffic and other pedestrian behaviors. The challenge is that the simulated humans need to show realistic and representative behavior — we want our agents to jaywalk as a human might do, and also replicate a wide range of behaviors that we encounter while driving in real cities. In this role, you will: Populate the simulated roads with intelligent participants. Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors. Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible. Work closely with various teams — including AI software teams, QA, and Validation Engineers — to push autonomous driving forward. Qualifications Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Robotics Engineering, Computer Science, or a related field PhD or 4+ years of experience in a related field Fluency in C++ Mathematics skills, including trigonometry, linear algebra, and calculus Experience with motion planning, control systems, constrained optimization, and state estimation Bonus Qualifications Experience in game development, traffic simulation, motion planning, or pathfinding Experience in automotive, robotics, data science, or machine learning Familiarity with Python Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world. In this role, you will: You will develop new algorithms to model the future behavior of all other agents in the world You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design Strong mathematics skills Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related venues Prior experience with Prediction and/or autonomous vehicles or robotics in general Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities — and the System Design and Mission Assurance (SDMA) team plays a foundational role in making it happen. We’re responsible for constructing the safety case and fail-operational design for our autonomous robotaxis before they hit public roads. We’re looking for a part-time Full Stack Software Engineer (approximately 20 hours per week, starting for 6 months ) to join the team and gain hands-on, real-world experience building the tools and automation that drive Zoox’s safety metrics. This role is an excellent opportunity for local students who want to apply classroom learning to cutting-edge autonomous vehicle technology. Under the mentorship of a senior engineer, you’ll collaborate with PMs and engineers to design, develop, and enhance applications used in Zoox’s safety evaluation processes. In this role, you will: Help develop and implement scalable applications to automate the generation of Zoox’s safety metrics. Collaborate with software engineers and PMs to build and test new features. Improve existing tools by optimizing latency, CPU/memory usage, and database queries. Qualifications: Exposure to SQL, Spark, JavaScript/TypeScript, HTML, CSS, or Python. Experience with a Front-End UI Framework (e.g., Vue, React, Svelte) or a web framework (e.g., Flask, FastAPI). Comfortable using Google Suite or Microsoft Office; willing to learn tools like JIRA or Confluence. Strong written and verbal communication skills. Actively enrolled in a 2-year or 4-year college program pursuing a degree or certificate in Software Engineering, Computer Science, Systems Engineering, Mechanical Engineering, Electrical Engineering, or a related field. Bonus Qualifications: Familiarity with a low-level language such as Java, Kotlin, C, C++, or Rust. Understanding of low-level Linux system protocols, firmware, or ECUs. Experience or interest in using AI-assisted development tools such as Cursor IDE, GitHub Copilot, or Claude Code. Compensation $30 per hour. This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.

We are seeking a Senior/Staff Software Systems Architect with strong analytical and technical skills to gather, interpret, and present data that supports architecture decisions for our autonomous driving platform. This role sits at the intersection of software, hardware, and systems design, with a focus on collecting and analyzing real-world performance, telemetry, and service data to provide the evidence base for robust, scalable, and efficient solutions. You will analyze power and performance measurements, assess service and operational efficiency, and identify solutions to potential integration bottlenecks or failure risks, ensuring that vehicle platform architectural evolution is grounded in clear, data-backed insights. You will play a key role in profiling system performance, assessing operational efficiency, and identifying bottlenecks or failure risks across compute and service layers. Your insights will directly influence vehicle platform architecture, compute module design, and fail-operational strategies. In this role, you will: Lead analytics-driven architectural evaluations across compute, networking, and software. Apply analytical tools to logs and real-time data from simulation and test environments to validate architectural changes for power efficiency and performance. Identify and resolve inefficiencies and scalability risks, ensuring smooth progression from prototype to large-scale deployments (hundreds to thousands of vehicles). Collaborate with cross-functional teams—including service owners, safety, hardware, and infrastructure—to ensure reliability, fault tolerance, and efficient operation under real-world constraints. Deliver clear, data-backed recommendations to stakeholders, enabling informed system design and long-term architectural planning. Qualifications: 10+ years’ experience in systems architecture or system design, with a strong background in software, hardware, or embedded systems. Proven expertise in profiling and analyzing power and performance. Experience designing and validating fail-operational, fault-tolerant systems using real-world failure and performance data. Ability to identify bottlenecks, inefficiencies, power optimizations, and scaling risks, and collaborate cross-functionally to optimize system reliability and efficiency. Strong communicator, able to translate complex technical insights into clear recommendations for both technical and non-technical audiences. Bonus Qualifications: Experience in Linux environments with hands-on experience using GPU profiling and monitoring tools, including DCGM, NVTX, and Nsight. Experience with Databricks, Looker, and Grafana for gathering analytics and dashboarding. Experience with systems or SW development for an autonomous vehicle company. There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g., sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is looking for software engineers to build the tools that power our autonomous ride sharing service. Our Operational Tools Team is a crucial part of Zoox’s mission to deliver autonomous ride-hailing to the world. We're building a team of highly collaborative and talented people with a diverse set of expertise. If you’re passionate about building great software that’s crucial to solving the biggest engineering challenge of our time, we'd love to chat! Our Operational Tools are essential for the safe and effective use of our ever-growing fleet of autonomous robotaxis. As an engineer on the team, you will collaborate with product managers, designers, QA engineers and remote operators to build full stack web applications to monitor and support our fleet at scale, provide in-vehicle visualization systems and provide live ride support to our growing rider base. If you like working on new and innovative challenges to solve unique problems by working across domains and having direct impact, this is the role for you! In this role you will: Design and implement highly scalable and reliable web applications to support Zoox's autonomous robotaxi service under the supervision of more senior engineers Collaborate with software engineering teams, PMs, designers to build new features. Collaborate with experienced engineers to enhance existing software systems by optimizing latency, CPU/memory usage, and database queries. Have the chance to grow with the support of your manager, mentor and team members. Qualifications 3+ years of experience in software development Solid foundation in JavaScript/TypeScript, HTML, and CSS or Python Experience with a Front End UI Framework (e.g., Vue, React, Svelte) or a web framework (e.g., Flask, FastAPI) Excellent communication and collaboration skills Bonus Qualifications Proficiency in a low-level language such as Java, Kotlin, C, C++, or Rust. Familiarity with low-level Linux system protocols, firmware, and ECUs. Experience developing tools that support operations. Base Salary Range About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Join us at Zoox, where cutting-edge technology meets the open road. We are revolutionizing transportation and shaping the future of mobility, and as the Director of Product Software, you’ll be at the forefront of our mission to redefine the way we live and travel. We’re seeking a dynamic and visionary leader to lead the development of our ride-hailing service, overseeing the software teams building our ride-hailing app, fleet management backend, operational tools, and in-vehicle experience. Your expertise in software development, iterative product strategy, and team leadership will be essential as we build and scale a world-class customer experience. In this role, you will: Strategic Vision: Develop and execute a comprehensive product strategy for our ride-hailing platform, ensuring alignment with Zoox’s overarching goals and the evolving demands of the market. Product Development: Lead the end-to-end development of the ride-hailing ecosystem, including the user-facing app, backend fleet management systems, operational tools for dispatch and fleet monitoring, and the in-vehicle user experience. Drive adoption of best software engineering and infrastructure automation practices to increase efficiency and streamline development processes. Cross-functional collaboration: Work closely with teams across engineering, product management, marketing, and fleet operations to ensure seamless integration and alignment on product objectives and deliverables. Leadership and Team Building: Attract, hire, and inspire a world-class engineering team, fostering a culture of innovation, collaboration, and excellence. Customer-Centric Approach: Advocate for the customer at every stage of product development, ensuring the ride hailing experience meets and exceeds user expectations. Define and monitor key metrics to track the success of the product, driving continuous improvement through data-driven insights. Qualifications Bachelor’s or advanced degree in Computer Science, Engineering, or a related field. 8+ years of extensive leadership experience, leading teams of 50+. Hands-on experience having deployed real products into the real world, and understanding the challenges of working with complex systems. Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams. Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Bonus Qualifications Proven track record of successfully scaling large software systems, preferably in a high-growth environment. 5+ years of leading large relevant products from inception to delivery. Compensation and Benefits There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $304,000 to $407,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is looking for a talented and driven administrative business partner to join our team. This role will support Directors and Senior Directors within the Software team. This is an ideal position for someone who works well under pressure, is a self-starter, and wants to work in a dynamic, mission-driven environment. This role will require strong calendaring and prioritization skills, uncompromising attention to detail, the ability to meet tight deadlines, excellent organizational skills, and the ability to juggle multiple critical requests simultaneously. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior leaders within the company are also critical aspects of this role. Most importantly, you must have a genuine passion for the Zoox mission. What you'll do... Hands-on meeting scheduling, coordination, and note taking Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements Project management including inception, planning, tracking, and evaluation Qualifications: 5+ years of either administrative or executive assistant experience Bachelor's degree Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs Excellent written and verbal communication skills Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products Bonus Qualifications: Comfortable working in a dynamic environment Sensitivity to handling critical and confidential information Ability to learn quickly, ask questions, and be solution-oriented Previous exposure to company boards, public officials, and other senior-level stakeholders Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Zoox's Hardware Software Integration team is responsible for ensuring various hardware subsystems work reliably on our vehicle platform on a day-to-day basis. You will oversee the deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles. This role is essential and fundamental to the execution stage of Zoox's vehicle program, ensuring that hardware systems operate predictably at all times. You will also be responsible for supporting bring-up and manufacturing operations for the vehicle. You will have excellent communication skills and are excited about being the first responder to triage and debug difficult hardware-software integration issues. In this role, you will: Lead and drive debugging of hardware-software issues to closure. Identify and work with key cross-functional partners to root cause and provide resolution Provide feedback to engineering teams to improve future product versions Understand the vehicle assembly and test requirements and come up with test plans and specifications to support manufacturing operations Develop test automation, leverage in-house analysis tools to perform debugging and improve test coverage, and enhance test infrastructure Develop new processes and human workflows to improve fleet stability Qualifications BS or MS in Electrical Engineering, Computer Science, or related fields with a minimum of 2+ years of relevant industry experience Experience and skill in determining the root cause of complex issues involving HW, FW, and SW Experience with hardware interfaces such as Ethernet, CAN, USB, UART, LIN. I2C, SPI, etc and related testing/debugging tools Familiarity with requirements and test case development Fluency in Python or similar scripting language, git/version management tools, SW debugging tools Bonus Qualifications Working knowledge of requirements management tools such as Polarion/JIRA Strong EE fundamentals with familiarity in microcontroller-based systems, high-speed signals, sensing, power electronics, BT/LTE/NFC Working knowledge of schematic design, PCB layout, and electrical characterization equipment (oscilloscopes, spectrum analyzers, etc.) Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $138,000 to $222,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. In this role, you will... Define on-vehicle architecture for producing the core tracking results from the Perception stack. Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle. Work with Perception data, both on the input and output of machine learned models Take tracking output and integrate this into the larger behavioral system in the Autonomy stack Qualifications BS or higher in Computer Science or a related degree Fluency in C++ and Python Experience delivering ML model integration in latency-sensitive systems Have experience implementing tracking systems Strong mathematical skills and understanding of probabilistic techniques Bonus Qualifications Familiarity with modern, Sparse-BEV Joint Detection and Tracking models Experience with CUDA code Contribute to the ongoing development of new architecture based on new, state of the art ML research Investigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is transforming transportation with a mission to build autonomous robotaxis from the ground up—delivering a safer, cleaner, more reliable, and enjoyable future for all. The Robot Data Platform team, as part of the Data Infrastructure organization, builds and operates the systems that manage data generated by Zoox’s autonomous vehicle fleet. We design, scale, and maintain infrastructure that ingests, stores, and serves hundreds of petabytes of vehicle data, empowering machine learning, data science, software engineering, fleet management, and safety analysis across the company. As a member of this team, you’ll work alongside world-class software engineers to solve complex challenges in large-scale distributed data platforms, systems, and pipelines, shaping how Zoox leverages data to advance autonomous transportation. In this role, you will: Design, develop, and maintain scalable systems for collecting, cataloging, storing, and processing petabytes of vehicle data Architect robust log data storage solutions using AWS S3, and distributed systems to ensure data integrity and availability Lead technical design discussions, create design documents, and drive architectural decisions for complex data platform features Implement monitoring, alerting, and operational tooling to ensure high availability and reliability of data pipelines processing thousands of runs daily Mentor junior engineers, conduct code reviews, and establish best practices for data platform development Troubleshoot and resolve production issues in data ingestion and storage systems, participating in on-call rotations Qualifications 8+ years of software engineering experience in building large-scale distributed cloud storage systems or data platforms Proficiency in Python and C++, or similar languages, with emphasis on writing clean, maintainable code Extensive experience with cloud platforms (AWS preferred), including S3, Aurora, and EC2 Proven experience designing and operating large-scale data ingestion and storage systems handling petabytes of data Demonstrated strong ownership by driving projects from conception to completion and collaborating effectively with cross-functional teams through clear communication. Bonus Qualifications Knowledge of data cataloging systems, metadata management, storage optimization, and data governance Experience with monitoring and observability tools (such as Grafana, Cloudwatch) Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

The Indirect Sourcing Team connects Zoox with the everyday resources it needs to build mobility from the ground up. We manage the sourcing, negotiation, and execution of contracts that impact daily life at Zoox. This Strategic Sourcing Manager will establish, grow, and scale the foundation for how our IT infrastructure and Compute. You will be given the autonomy and voice to truly act as a strategic partner with cross-functional stakeholders and IT colleagues. In this role, you will be at the forefront of developing solutions to bring the Zoox vision to life and solving go-to-market challenges for autonomous vehicles and rider experiences. We are looking for a candidate who enjoys working on projects from start to finish, diving deep to understand engineering and user experience challenges, and partnering closely with stakeholders to think through complex questions. In this role, you will: Support various departments in the procurement of our IT Software, Hardware, and Services. Focus on CRM, ERP & related procurements to ensure and assist Zoox’s operational scaling and efficiencies. Support Zoox’s scale by establishing and maintaining strategic networking relationships and procurement opportunities. Support and inform internal stakeholders regarding supplier selection and management. Identify sourcing alternatives to drive efficiencies via benchmarking, competitive quotes, and engineering changes. Negotiate the cost and other terms and conditions of such purchases by collaborating with the stakeholders and legal team. Ensure a smooth procure-to-pay process by working with the stakeholders and the finance team. Qualifications Bachelor’s degree in a related field 8+ years of experience in strategic procurement and supply chain management in a technology-related industry 4+ years of experience in IT hardware, software, and services strategic sourcing and procurement Strategic sourcing, financial and business opportunity analysis, comfort with legal frameworks, and contract negotiation skills Experience drafting and negotiating contracts (reviewing redlines, identifying and offering solutions to potential issues) Excellent communication skills with the ability to influence cross-functional stakeholders Open-minded self-starter who can provide insightful feedback, strategies, and thoughts to their stakeholders and suppliers Bonus Qualifications Master's degree or MBA in a relevant discipline (Business Administration, Engineering, Computer Science, Program Management, etc.) Experience in the autonomous vehicle industry, or a related safety-critical environment. Experience in an NPI environment and cross-functionally with PMO or engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Shipping the software that powers Zoox's revolutionary autonomous vehicles is an extremely challenging job. As a Software Engineer on the Robotics Middleware team, you will be pivotal in designing and developing the middleware framework for our autonomous vehicle software stack. This role contributes to the entire software organization by seeking opportunities to make our software and engineering teams more efficient and productive. You will regularly tackle complex, cross-functional challenges that impact multiple teams, helping to ensure our stack remains robust, scalable, and safety-critical. This role demands strong expertise in real-time computing, cross-platform development, and abstraction layer design. You’ll be responsible for contributing to performance optimization and ensuring efficient, modular, and maintainable code. Your deep debugging and problem-solving skills will support high-quality solutions across our middleware. This position requires strong teamwork to collaborate on technical decisions, foster cross-functional partnerships, and uphold engineering best practices. Your excellence in technical communication, paired with your ability to balance technical precision with practical delivery, will ensure impactful outcomes across Zoox's software organization. In this role, you will: Contribute to the technical direction and architecture of our robotics middleware platform and the runtime control system Develop and maintain platform-agnostic middleware components, including Robot state machine, software interfaces, task schedulers, data transport layers, diagnostic reporting, and message interfaces Participate in design reviews and code reviews to maintain high code quality and share knowledge Collaborate extensively with software teams across the organization to ensure the middleware meets all technical requirements Participate in technical forums, contribute to technical documentation, and adhere to established best practices Qualifications 1+ years of professional software development experience Strong proficiency in modernC++ (C++14/17) Strong background in developing scalable, distributed applications in Linux and the Nvidia Drive platform Experience with GPU/CUDA programming Experience with robotics frameworks/middleware (e.g., ROS/ROS2) Bonus Qualifications Experience with different processor architectures (e.g., X86, ARM) Experience with AI-assisted coding tools (e.g., Cursor, Claude Code) Proven experience in high-performance, distributed, and resource-constrained software systems Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components. In this role, you will: Develop infrastructure and tools to support the Software Systems org that can help enable software developers achieve, track and build safety-critical code. Primarily develop in Bazel, Python, ReactJS and TypeScript and also be responsible for setting up backend infrastructure (database, web servers, etc.) and will be interfacing with software developed in C++ and Python. Be comfortable to whip up quick scripts to automate tasks, such as generating metrics, establishing traceability, etc, when necessary. You will be developing and maintaining tools that support cross-functional teams in their efforts towards developing software that adheres to a High Assurance Process. Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment; solving that problem is one of the most exciting technical challenges of our lifetime. Qualifications Bachelor’s degree in computer science, engineering, or related field 8+ years of industry experience working on large code bases Strong proficiency in Python with frameworks like FastAPI/Django, Shell scripting, and building ETL pipelines Strong proficiency in TypeScript/JavaScript and one or more of the frontend frameworks/libraries like React/ Vue.js/Angular Strong proficiency in sql/nosql databases like Postgres, MongoDb, etc Strong proficiency in cloud technologies like AWS/GCP/OCI Bonus Qualifications Masters’ degree in computer science, engineering, or related field Robotics, Automotive or Aerospace software experience with safety-critical systems Experience with Linux and systems programming Familiarity with Static and Dynamic Analysis Tools - such as Coverity, Valgrind/Helgrind, CCM, etc There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is 210,000 to 252,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com , LinkedIn , X , and YouTube . Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you. Apply today to help us achieve our mission. Software Engineering Intern Summary: As a Software Development Engineering Intern in our dynamic team, you’ll gain hands-on experience in developing cutting-edge software using modern technologies and frameworks. You’ll work alongside our talented developers on various aspects of application development, from coding to design, in an environment that values good engineering and customer-centric design. This internship is your chance to contribute to projects that reach thousands of users worldwide while being mentored by some of the best in the industry. If you’re ready to take your coding skills to the next level and make a real impact, we want to hear from you. This role will report directly into one of our Engineering Managers and will work ON -SITE at our Lehi UT location. The internship will run June 8th- August 14, 2025 What You’ll Do: Collaborating with senior engineers on the development, design and architecture of products Coding and debugging software applications under the guidance of senior engineers Assist in the development of software documentation What You’ll Need: Currently working towards a Bachelor’s degree in Computer Science, Computer Engineering or related fields Experience with C# and/or Java Experience with front-end development, e.g. HTML, Javascript, Angular, React Understanding of Object-Oriented principles, the .NET Framework, ASP.NET Core Understanding of Database concepts Effective communication and collaboration skills We’d Love to See: Understanding of cloud-based technologies (e.g. Azure) Why work at Delinea? We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities. We invest in people who are smart, self-motivated, and collaborative. What we offer in return is meaningful work, a culture of innovation and great career progression. At Delinea, our core values are STRONG and guide our behaviors and success: Spirited- We bring energy and passion to everything we do Trust- We act with integrity and deliver on our commitments Respect- We listen, value different perspectives, and work as one team Ownership- We take initiative and follow through Nimble- We adapt quickly in a fast-changing environment Global- We embrace diverse people and ideas to drive better outcomes We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie. We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with 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. Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.