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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.

We’re looking for a highly motivated and experienced Software Engineer to join OneCrew’s quickly growing team. You’ll play an instrumental role in defining and building out the product and platform with the co-founders and engineering team as we scale our customer base. Our engineering team is based in San Francisco and works in a hybrid environment from our office in downtown SF. About us OneCrew is a B2B SaaS company modernizing the $30B commercial paving industry. OneCrew is the operating system for contractors connecting end-to-end operations all in one intuitive platform. Since launching in 2022, we have rapidly built a customer base spanning the US and Canada. Customers LOVE our product and we're seeing great momentum. As we look to the next phase of OneCrew, we are building our engineering team to expand our best-in-class platform and bring new-to-market features to life. Our lean, dynamic team led by the co-founding CEO (ex-Bain) and CTO (ex-Google) is excited to grow and deliver industry-changing solutions. We’re backed by venture capital and industry investors and have built an advisor group consisting of industry leaders, Construction SaaS experts, and successful former founders. What you’ll do Build and launch new products and features independently and with the team Maintain systems to ensure they are secure, highly-available, observable, performant, and automated Document and provide feedback on product and engineering designs Improve team standards and processes around development and production Steward and grow our team and culture Who you are You’re a top performer looking for a role with opportunities to drive features from early engineering design to launch You approach problems from the user’s perspective first and find balance with technical considerations You strive for simple, elegant solutions that meet our objectives and establish a foundation for iteration; you know when to invest and when to defer You have 2 or more years of experience and expertise building and running products with technologies in our stack - TypeScript, Node.js, Next.js (Vercel), React, Postgres (supabase), AWS What we offer Downtown SF office with snacks, coffee, rooftop, etc. Weekly team lunches and monthly events Competitive salary with significant upside potential ($100k - $190k) Generous early-stage equity Unlimited PTO Medical, Dental, and Vision (most options 100% covered) Role Full time position You must be legally authorized to work in the US; we do not sponsor visas at this time.

Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a mid level software engineer to parse data products which make information available for Analytic missions. This Program has a robust process to ensure quality of products. Core hours coverage of 10 AM to 2 PM is required. No overtime, nor weekend work allowed on the TTO. Requirements Security Clearance: Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen Minimum Qualifications: Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. Required Skills: Java Gitlab Confluence Documentation Jira This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,400 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

About the Team The ChatGPT for Work team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role You will help build and deploy our ChatGPT for Work product. We shipped ChatGPT for Work in August last year, and we’re humbled and excited by the reception – a recent study found that ChatGPT can drive up to 30% more productivity in knowledge work. We’re looking for experienced engineers, who are excited by the three components of shipping the best enterprise product: Building a secure, governable, scalable foundation that earns the trust of our customers Packaging the magic of OpenAI in a way that resonates with enterprise buyers Shipping 0-1 products that give users 10x abilities in specific enterprise domains In this role, you will: Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed You might thrive in this role if you: Deep understanding of engineering principles, industry best practices, and emerging technologies within their domain. Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale Care deeply about the end user experience and take pride in building products to solve customer needs Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do Have been a startup founder or an early-stage engineer . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Swoop: Swoop Technologies has a mission to organize and make accessible the world’s military and critical infrastructure. We are building a distributed operating system, SwoopOS, that decomposes the world’s equipment into a distributed combined robotic embodiment upon which a new generation of distributed systems, autonomous systems, and agentic AI can be built and deployed using our SDK, Valhalla, and operated via our browser, Surf. Imagine the world’s equipment - consisting of the electrical grid, communications architectures, manufacturing facilities, and militaries as a trapped supply of inputs possessing the potential to ensure Western military advantage, sovereign control of economically competitive manufacturing capacity, or the creation of a grid that fosters energy dominance. Swoop is liberating these trapped assets, allowing them to contribute to the world’s future as a series of building blocks to be combined at the speed of software, limited by only the hard constraints of physics and the soft constraints of safety. That is what Swoop is building. Not in the data center or cloud or edge on-premise computing node. In the physical world. Impact: Joining our Edge Team means you will get to work on building an operating system. Not an abstraction, virtualization, or data layer. A legitimate distributed operating system. This OS has to work across heterogeneous instruction sets, support a new generation of distributed system abstractions, treat security as a first principle, and work at the scale of power grids and entire militaries. You will influence the intersection of artificial intelligence, robotics, and the physical world - building a compute model the OS schedules and executes across the most geopolitically relevant problem sets. It is a bad-ass problem where every member of the team contributes tangibly on a daily basis. Come join us in either our Minneapolis or Washington, DC offices. Responsibilities: Develop and maintain embedded system firmware including low-level drivers, bootloaders, and other OS-critical functions to enable reliable OS initialization and hardware interaction. Contribute to OS integration and kernel-level modules, ensuring efficient communication between hardware abstraction layers and higher-level system software. Design and implement application-layer features and system services that leverage firmware interfaces, optimizing for performance, resource use, and robustness. Collaborate cross-functionally with other engineering teams to debug complex issues spanning firmware, operating system, and application boundaries. Collaborate closely with the deployment engineering team, solving technical challenges for various customer requirements Minimum Qualifications: Active TS Clearance Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field, or equivalent technical experience 4+ years of experience in one or more of the following: Operating System/Kernel development, RTOS, Embedded Systems/Firmware design, Microkernel development, Bare Metal development Software development experience in C and Rust Understanding of low level hardware systems Travel Requirement - 5-20% Preferred Qualifications Knowledge of one or more of the following: Microcontrollers, SoC, device drivers, hardware bringup, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, FPGAs or hardware/software integration Understanding of clocks and timing as it pertains to processor instructions Familiarity with serial protocols such as I2C, SPI, UART, USB Demonstrated knowledge of systems engineering and distributed systems Swoop Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark innovation and create lasting impact. In addition to our successful database business, we’re building the industry’s first observability warehouse, Imply Lumi. Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing observability tools with zero disruption. In this role, you will help redefine what is possible with observability and security data. As part of the Platform Team you will play an important role in bringing Imply Lumi to life. Lumi delivers lightning fast queries, significant cost savings and seamless integration with leading observability technologies while giving customers the freedom to innovate without vendor lock-in. You will partner directly with our teams who are innovating and building this first-in-class technology that allows our customers to unlock new levels of speed, scale and value from their data. Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory, transforming how organizations manage and gain insights from their observability and security data. Our customers, including Pepsi, Reddit, Roblox, Salesforce, and others, rely on our technology to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of innovators and problem-solvers who are reshaping the future of data! The Role We’re looking for a talented Staff Software Engineer who is passionate about building scalable web services and cloud infrastructure for products used at thousands of companies around the world. You would be working with our Platform Engineering team, implementing reliable distributed systems that manage petabyte-scale data across a range of products. This role is a mix of software engineering, platform engineering, and cloud architecture. Must be comfortable working in a high performance remote-first environment. Responsibilities Design and develop highly available services and infrastructure that operates across multiple geographic regions in a multi-cloud environment (AWS, Azure, GCP) Build, maintain, and operate SaaS, BYOC (Bring your own Cloud), and on-premise offerings. Maintain infrastructure-as-code for deploying resources on Kubernetes across multiple clouds. Participate in design reviews, code reviews, and on-call rotations. Work collaboratively as a member of a cross-functional team to build end-to-end customer experiences Demonstrate full lifecycle ownership of the products and features built, including writing documentation, manual and automated testing, and participating in on-call rotations Requirements First and foremost - the desire and self-drive to succeed at a fast-paced, demanding startup. 10+ years of industry experience spanning software development, architecture, cloud technology, networking, and modern application design. Experience building large-scale, API-first production web services (Java required) Production experience working with AWS, Azure, GCP, and Kubernetes and using infrastructure-as-code frameworks such as Terraform and Helm (AWS required) Strong oral and written communication skills; able to explain complex technical concepts at the appropriate levels for customers, non-technical stakeholders, and other engineers Build and operate systems in US Government Cloud environments (US citizenship required) Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience) Bonus Points Experience with Oracle Cloud, GovCloud, Azure Cloud, Google Cloud Familiarity with the BYOC (Bring your own Cloud) deployment model A history of contributions to open source projects What we offer 100% Paid Medical, Dental and Vision Benefits 401(k) Program Fertility Coverage Pet Insurance Dependent Care FSA Mental Health Support Life and AD&D Insurance Unlimited Paid Time Off Wellness Stipend Home Office Equipment Reimbursement Pre-Tax Commuter Benefits Individual compensation will be determined based on the candidate's experience and qualifications aligned with Imply’s internal levelings guidelines and benchmarks. The below range encompasses roles with on target earnings. This role is also eligible to participate in Imply’s equity plan subject to the terms of the applicable plans and policies. Compensation: $195,000 - $230,000 Don’t meet every single requirement? Studies have shown that certain minority groups are less likely to apply to jobs unless they meet every qualification. At Imply, we are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or for other roles in the future. Imply is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Please note, applications and candidate submissions are subject to our privacy policy and, for California residents, the CCPA terms available at https://imply.io/privacy . — Attention: Imply Applicants Due to reports of phishing, we’re requesting that all Imply applicants apply through our official Careers page at imply.io/careers . All official communication from Imply will come from email addresses ending with @imply.io. #LI-Remote