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Zoox is looking for an experienced Software Engineer to work on key new frameworks and infrastructure modernization for our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. Zoox HPC services combine industry-best scheduling and workload orchestration technologies, such as Ray.io and SLURM, with value-add workflows specifically for Autonomous Vehicle development. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to simulation, and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox’s computational needs. The position comes with a high degree of independence and the opportunity to help define Zoox’s compute scaling strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to iterate on world-class developer experiences, incorporating the latest industry tools and best practices. In this role, you will: Evaluate new distributed system paradigms and technologies to meet Zoox’s ever-growing computational and storage needs Strike a balance between incremental improvements to Zoox’s existing in-house HPC infrastructure and greenfield services and abstractions. Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teams. Qualifications 7+ years of experience Experience with Ray.io, particularly Ray Core and Ray Data Experience with Kubernetes, particularly for heterogeneous workloads and clusters Experience with Ray.io and Kubernetes deployed on Amazon Web Services (AWS) or other similar cloud providers such as Azure or GCP Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation, etc) from a compute infra service provider perspective Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager 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 $210,000 to $275,000. 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.

The Offline Driving Intelligence team is responsible for developing machine learning algorithms that leverage data at large scale to train driving models. On the behaviors and planning team we learn and predict behaviors from large scale expert data and large scale reinforcement learning. This Offline Driving Intelligence team can leverage provided setups such as extended memory, flexible time and access to privileged information. The solutions developed are used in offline applications and to influence onboard decisions. This team is also building intelligent driving agents and dense driving metrics. In this role, you will collaborate closely with the Onboard Planning, Simulation, Perception, Validation, Data Science, Systems Engineering, QA, and ML Infra teams. In this role, you will: Team Leadership: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement. Strategy Development: Develop and organize our overall strategy for Offline ML Models for planning, behaviors and agents. You will interface with multiple partner teams to identify opportunities for model adoption within their problem area. You’ll be setting the short and long term technical direction for the team and collaborate on the broader company-wide directions. Technical Oversight: Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference. Performance Monitoring: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of optimization strategies and drive continuous improvement. Resource Management: Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed. Qualifications: Expertise with Reinforcement Learning and ML for Planning. Extensive experience with programming and algorithm design, strong mathematics skills. BS, MS, or PhD degree in computer science or related field. 5+ years of experience with production Machine Learning pipelines, with at least 2 years in a leadership or management role. Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related venues. Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training. 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 our safety, and analyze our real world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals. Our team’s mission is to provide the simulation framework and tools for Zoox to rapidly develop our hardware and software, and to help answer the ultimate question: "Is Zoox’s robot safe to drive on our cities’ streets?" Learn more about our Simulation team Sim C++ Framework (Foster City, CA, Seattle, WA and Boston, MA) Role: Architect and develop core simulation foundations - including core simulator framework, communication framework, determinism and reproducibility, performance optimization. Needs: Deep expertise in C++. Experience with multi-threading, and/or distributed real-time systems. Best for: Architects/engineers who care about robust and elegant architecture, correctness, maintainability to deliver foundational technology to boost all Simulation efforts. More Info: Software Engineer - Simulation Architecture 8+ years of experience in a related field Simulation Traffic Modeling & Behavior (Foster City, CA, Seattle, WA and Boston, MA) Role: Populate the simulated roads with intelligent participants. Make simulated cars, pedestrians, bicyclists, motorcyclists, etc to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors. More Info: Software Engineer - Simulation Traffic Modeling & Behavior 8+ years of experience in a related field Scenario Automation (Foster City, CA and Seattle, WA) Role: Develop Python platform for large scale generation of autonomous driving scenarios for simulation More Info: Software Engineer - Scenario Automation 8+ years of experience in a related field Scenario Full Stack (Foster City, CA) Role: Build Scenario Editor for creating effective scenarios and unlock the full potential for simulation. More Info: Software Engineer - Simulation - Scenario Full Stack 8+ years of experience in a related field 3D Simulator (Sensor Simulation, Procedural Worlds, and HIL) and (Foster City, CA) Role: Develop realistic simulation for all our sensors (camera, lidar, radar, and more). Extend our procedural world generation pipeline for improved realism and performance. Optimize our 3D simulator for end-to-end driving software simulation at scale as well as hardware-in-the-loop simulation. Needs: Fluency in C++. Bonus points for experience in sensor simulation, rendering pipeline, asset pipeline, art tools, or CPU/GPU performance optimization. More Info: Software Engineer - HIL Sensor Simulation 8+ years of experience in a related field 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 $203,000 - $300,000. 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.

In this Technical Program Manager (TPM) role, you will be responsible for leading the overall hardware (HW) and firmware (FW) verification and validation (VnV) strategies for the robot platform, from the component level through the system level. The key goal will be to bring together the various verification initiatives that are already happening and ensure that verification occurs as far upstream as possible, that the right assets and test cases are in place, and that results are properly documented and communicated. You will have experience in complex vehicle systems, managing teams, and delivering results on a tight timeline. You will work with engineering leaders across hardware engineering, software, infrastructure, procurement, finance, and various suppliers to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress to the executive team. In this role, you will: Own the end-to-end Robot Platform verification and validation (VnV) strategy. Develop detailed plans, including identification of test assets, test resources, and test timing to deliver on-time VnV completion. Lead the mapping of all requirement and verification tasks, and in working with cross-functional teams, identify any gaps and plans to close them. Lead cross-functional teams in defining and scheduling all VnV work. Develop the process, templates, KPIs, and reports to measure VnV progress. Qualifications: Engineering degree with 10+ years of hands-on experience. Experience working in software and hardware development environments. Strong track record in managing complex, cross-functional projects. Excellent communication and organizational skills. Ability to keep the big picture in focus and provide clear, well-structured, and concise communications tailored to each appropriate audience. Vehicle system engineering experience is strongly preferred. Cloud software and firmware experience is preferred. Compensation 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. 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.

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment. In this role, you will: Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) and/or operations infrastructure (EV charging, vehicle maintenance, capital equipment) Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service Develop the supply chain and partnership footprint with a long-term, strategic view Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Design, conduct, and synthesize supplier, industry, and market research Drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Build and maintain strategic relationships with key suppliers as the lead point of contact for all commercial issues Review, analyze, and finalize quote packages from suppliers Support and inform internal stakeholders with respect to supplier selection and management Identify sourcing alternatives to drive efficiencies via benchmarking, competitive quotes, and changing requirements Preferred Qualifications Expertise in cost modeling for semiconductor chips. In-depth knowledge of the foundry industry, including key cost drivers. Strong understanding of chip manufacturing processes and their impact on yield. Ability to analyze and interpret market trends relevant to semiconductor pricing. Proven ability to cultivate and maintain strong relationships with key suppliers. Strong focus on cost management and optimization. Experience in evaluating and optimizing Bill of Materials (BOM) costs in collaboration with suppliers. Ability to work collaboratively with engineering teams on cost optimization projects, including sourcing low-cost electrical alternatives. Advanced Excel skills, with the capability to develop a comprehensive component library and manage overall BOM cost across the procurement team. Strategic mindset for negotiating costs with key component suppliers. Self-starter with a proactive approach and high initiative. Qualifications 6+ years of experience in partnership development and/or purchasing in a hardware product environment Bachelor’s degree Strategic sourcing, financial and business opportunity analysis, comfort with legal frameworks, and contract negotiation skills (development, supply, licensing, and service agreements) Excellent communication skills with the ability to influence cross-functional stakeholders, including C-level, engineering, legal, finance, manufacturing, and logistics Excellent analytical skills Advanced Microsoft Excel skills 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 $144,000 to $205,000. 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 seeking an experienced Offensive Security Engineer with deep technical expertise in reviewing and testing Internet of Things (IoT) devices, robots, or autonomous systems. This individual will be responsible for performing security assessments across the full stack of connected devices, from embedded firmware to cloud APIs. You will simulate real-world adversaries, identify vulnerabilities, and provide technical insights that directly impact the security posture of our products. Key Responsibilities Include: Conduct offensive security assessments of IoT devices, including hardware, firmware, mobile apps, APIs, cloud backends, and communication protocols. Reverse engineer firmware and perform static and dynamic analysis to identify security flaws. Identify and exploit vulnerabilities in embedded systems, wireless protocols, bootloaders, secure boot implementations, and cryptographic mechanisms. Build and execute proof-of-concept attacks to demonstrate real-world exploitability and business impact. Collaborate with product, hardware, and software engineering teams to define secure development practices and improve product resilience. Contribute to internal tooling, automation, and methodologies for IoT security testing. Participate in threat modeling and architecture reviews of new products and features. Stay up to date with emerging vulnerabilities, tools, and offensive research relevant to IoT ecosystems. The ideal candidate has deep expertise in security engineering, cryptography, network security, and secure system design, with a proactive approach to securing complex platforms. Qualifications 5+ years of hands-on experience in offensive security or penetration testing, with at least 2 years focused on IoT and embedded systems. Strong knowledge of hardware hacking techniques (e.g., JTAG/SWD/UART debugging, side-channel analysis, fault injection). Proficient in reverse engineering tools such as Ghidra, IDA Pro, Binary Ninja, and debugging tools like JTAGulator, OpenOCD, or Bus Pirate. Experience analyzing and modifying firmware images (binwalk, Firmadyne, QEMU). Familiarity with secure boot, TPM/TEE, flash encryption, and other embedded security technologies. Deep understanding of wireless communication protocols (e.g., BLE, Zigbee, LoRa, Wi-Fi). Programming and scripting proficiency in Python, C/C++, Bash, or similar languages. Solid understanding of common vulnerabilities (e.g., memory corruption, logic flaws, insecure update mechanisms). Bonus Qualifications Experience with secure SDLC in embedded or hardware environments. Knowledge of cloud security and mobile application security testing. Contributions to open-source security tools or published research in IoT security. Experience presenting technical research at security conferences or publishing security advisories, CVEs, or whitepapers. 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 $192,000 to $261,000. 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 safety-critical software engineer to join our Collision Avoidance System Motion planning team. In this role, you will be responsible for bringing cutting edge motion planning and control systems towards high standard safety ratings. This is a multidisciplinary role that will get you exposed to safety-critical system engineering, perception, prediction, and embedded computing. You will lead the effort redefining what cutting-edge AI software can do in high-mission-assurance environments. In this role, you will: Build the software of collision avoidance motion planning Lead the technical direction of software projects, define architecture, design patterns, and best practices. Design, develop, and review complex software components, ensure code quality and maintainability. Provide guidance and mentorship to junior and mid-level software engineers. Identify and resolve complex technical challenges, analyze data to identify potential issues. Qualifications MS or higher degree in related field with 6 years of industry experience Strong background in computer science, especially coding in c++ Have experience of real-time system, especially latency handling Must be a team player with good communication skills and be able to guide the team member through software architecture design, experience with mentoring team members Past experience of Autonomous driving or robotics industry Bonus Qualifications Experience with writing functional requirements driven code and familiar with formal verification & validation techniques Familiarity with Hazard and Risk Assessment (HARA) and/or Failure Mode and Effects Analysis (FMEA) Experience with existing Advanced Driver-Assistance System (ADAS) technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing 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 $230,000 to $289,000. 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.

We are seeking a highly motivated and skilled Optical Test and Reliability Engineer to join our team. This role will be critical in ensuring the reliability and performance of optical sensors in our large fleet of autonomous vehicles. The engineer will be responsible for developing and implementing testing processes, conducting field tests, and analyzing data to maintain and improve the optical systems. In This Role, You Will: Optical Characterization - Develop and execute test plans for image sensors and optics in both laboratory and field settings. Measure performance metrics (e.g., resolution, modulation transfer function, stray light, contact angle) under varied environmental conditions Process Development & Refinement - Define scalable processes for maintenance tasks (cleaning, recoating, alignment) and hand off requirements for automation or subcontracting. Continuously refine test fixtures, protocols, and data-capture workflows to boost efficiency and repeatability Develop methods to test performance change in the field (coating degradation, abrasion, contamination) to support statistical models. Work with cross-functional teams to establish service thresholds and refine procedures based on model outputs Present findings, draft technical requirements, and translate complex optics data into clear recommendations for safety-critical deployments Plan and execute field tests of new sensors or hardware variants, troubleshoot on-site, and capture environmental data Coach field technicians on proper handling and inspection procedures Qualifications: Strong comprehension of image-sensor and optical fundamentals, including key performance metrics and test methods Hands-on experience with optics metrology tools (profilometers, spectrometers, haze meters, contact-angle goniometers, etc.) Demonstrated ability to design and run experiments (DOE), analyze results statistically, and iterate quickly in a “scrappy” hands-on environment Process-development mindset with empathy for field operators and an eye toward automation Basic proficiency with programming (e.g. MATLAB, Python) for data analysis, image processing, or instrument control Excellent verbal and written communication skills; proven track record coordinating across functional teams Willingness to work in both lab and outdoor settings, and to travel to deployment sites as needed B.S. or higher in Optical Engineering, Electrical Engineering, Applied Physics, or related discipline with optics/camera focus Bonus Qualifications: Impact: Your work ensures safety-critical vision systems perform reliably in real-world, public-space deployments Variety: From bench-top characterization to field trials, you’ll tackle diverse projects that span optics, reliability modeling, and process innovation Collaboration: Engage with a passionate, cross-disciplinary team committed to pushing the boundaries of sensing and robotics 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 growing Talent Acquisition team is looking for an Executive Recruiter. In this role, you will interface with our executive team, namely our CEO, CTO, and CPO, and provide recruiting support and consultation as a full life cycle Executive Recruiter. This position will drive specialized recruitment strategies to address unique talent needs, primarily in the engineering and operational leadership areas, broaden Zoox’s executive professional network and brand, and enhance pipeline development as we scale our leadership team(s). Responsibilities Partner with executive leadership to get a clear view of the strategic hiring needs Devise and carry out a targeted research strategy, and conduct research into clients company, competitors, and marketplace Map role criteria define position description and document specifications Track and identify prospective candidates using a variety of channels Assess candidates to ensure qualification match, cultural fit, and compatibility; present shortlisted candidates and provide detailed profile summariesConduct comprehensive candidate screens, manage the interview process, follow-ups, and candidate reference checks Offer guidance and facilitate the negotiation process through to its completion Assist with candidate’s transition and onboarding process Qualifications Deep understanding of the recruitment processes at the Director+ level in a hyper-growth, startup environment Effectively screen potential candidates while maintaining a level of confidentiality -- the valley is small! Strong knowledge of candidates selection methods; creative methods are a plus Previous experience with candidate sourcing tools and methods Excellent knowledge of area of expertise (market status, trends, best practices) Client focus along with relationship building skills Business acumen and market insight Effective negotiation, organization, influencing, and communication skills Integrity and confidentiality Bonus Qualifications Interest in the autonomous and electric vehicle industry Expertise in leveraging ATS (we use Lever) to build metrics, sourcing strategies, and talent pipelines Experience managing complex technical roles 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 $60 to $90 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.

We are looking for a Staff Software Engineer to lead the development and scaling of our cloud services and APIs that handle ride hailing for Zoox’s production-grade robotaxi service. These services include dispatch, routing, payments, mobile APIs, telemetry processing, service metrics and more. In this role, you will: Design and build scalable, efficient, and robust backend systems for Zoox’s ride-hailing service Own core functionality such as payments, fleet dispatch, service management Make significant contributions to technical roadmaps, development plans and execute on them effectively. Uphold engineering excellence by demonstrating best practices in software development including design review, code review, software testing and documentation. Qualifications 8+ years of cloud software experience Experience running and optimizing production-grade systems for maximum efficiency and resilience. Extensive experience with the design, implementation and operation of backend microservices. Proficiency with Kotlin or Java, REST APIs and SQL. Experience running production services using cloud infrastructure such as Kubernetes and Docker Bonus Qualifications Experience with Spring Boot based microservice architectures, PostgreSQL, Elasticsearch Experience in transportation, robotics, logistics, or autonomous vehicles. Experience with event driven architecture and Kafka. 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.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox's System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and validating that our vehicles are safe enough to be deployed for autonomous driving. We play a foundational role for the success of the company. We are seeking an experienced Systems Fleet Validation Lead engineer to champion the scoping, execution, and analysis for fleet driving campaigns. This is where the rubber actually meets the road. Our fleet of test vehicles is an important asset for collecting data for massive log replay simulation efforts, evaluating the impact of hardware changes on system validation arguments, and delivering as a piece of the final validation evidence for shipping a fully driverless service. You will be leading an effort to analyze the Operational Design Domain (ODD), define mileage collection requirements, monitor collection efforts, unblock obstacles to efficient mileage collection, and analyze both metrics and important findings coming in from the field. The ideal candidate will leverage statistical and technical expertise to deliver pragmatic and optimal solutions for the business. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement. In this role, you will: Analyze the Operational Design Domain (ODD) and service duty cycle requirements to propose fleet mileage collection requirements for validation campaigns. Develop new pragmatic statistical and technical arguments to optimize data collection efforts so as to balance the needs of the Zoox Safety Case with the realities and challenges of operations and business needs Manage a small team of engineers Produce dashboards for tracking mileage collection and tracking the resolution of findings coming in from the field Troubleshoot blockers or inefficiencies with mileage collection efforts Collaborate cross-functionally with system safety, data science, fleet operations, and software teams to execute campaigns and act on findings Perform data analysis and report test results. Maintain traceability between requirements, test cases, and results. Define and develop automated data extraction tools to streamline analysis and reporting Qualifications B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Systems Engineering, Computer Science, or a relevant field 7+ years of industry experience working on complex system validation campaigns. Past technical test experience is a must. Management experience Proficiency in basic statistics and probability Experience with test scripting and data analysis languages (Python and SQL preferred) Ability to manage ambiguity and drive progress independently Strong communication skills and ability to work well with cross-functional teams Bonus Qualifications Experience with Linux Systems Experience in the Autonomous Vehicle Domain 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 $166,000 to $238,000. 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's Experience Team works across the organization to define and champion the Human Experience. We embrace a human-centered design process that is collaborative, data-driven, and iterative. We are growing a team of exceptional people to help invent and design unique solutions. We'll address new challenges around AI and define interaction paradigms to advance human experience through design. If you live and breathe design, if you care about the impact of technology on our society, if you can't stop thinking about how to help improve people's lives, and you want to work on some of the most exciting design challenges of our times to inspire and enable a better future, get in touch! In this role, you will create, iterate and evolve mobile app experiences that our riders will love and choose. You will work across the organization to make strategic decisions and run the design process on key squads and initiatives. You will lead and champion a human-centered design process and culture. In this, role you will: Design mobile app interfaces and interactions that are elegant, accessible, intuitive, and delightful with a deep understanding of our riders and other road users. Create, test and iterate the app information architecture, wireframes, user journeys and work closely to bring the features to life; ideate and validate the UX/UI design for iOS and Android. Champion a Human-Centered process to collaborate across the company in prioritizing and solving scenarios and create impactful solutions that are aligned with our brand and push our strategy. Partner closely with UX Research in designing and running research studies and leverage research insights and communicate design solutions to inform product direction across different audiences and varying levels of the organization. Contribute to the evolution and maintenance of Zoox's design systems and principles. Leadership capabilities to orchestrate complex projects with a variety of cross-functional stakeholders. Proficient in designing systems architecture with a strong focus on accessibility. Skilled in implementing WCAG (Web Content Accessibility Guidelines) standards, including text resizing, and screen reader semantics. Demonstrated experience presenting design strategies with great verbal and written communication skills to convey design concepts. Qualifications 8 years of relevant design experience in a commercial organization, with minimum 5 years in developing and delivering app design for iOS and Android. Experience shipping digital products. Proficient in Figma or Sketch Bonus Qualifications Expertise in 3D animation techniques to create visually engaging content and bring ideas to life through dynamic visual content and UX prototyping skills. Experience working in AV, mobility, or automotive industries.​​ Experience designing for a wide range of users and abilities IAAP CPACC or equivalent Certified. 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 $151,000 to $213,000. 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 on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and validating that our robotaxi vehicles are safe enough for autonomous driving. We play a foundational role for the success of the company. The Systems Safety for Operations & Service team within SDMA is seeking an experienced systems engineer with a strong software development background to perform safety analysis of Product and Cloud software related to the safe deployment, remote monitoring, and operations of Zoox technology. In this role, you will: Proactively identify potential safety hazards and mitigations in Zoox’s Product and Cloud software through structured predictive safety analysis Review and continuously improve the product software architectures supporting operations & service Work with cross functional teams (backend/frontend developers, API engineers, Ops & Service Product managers, fleet ops) to support the implementation and test of system safety requirements within the operational tool and product software ecosystem. Drive improvements in the automation and traceability of test execution to systems safety requirements. Work with software teams to support and review the processes for safety critical software updates/deployment (remotely, OTA, or in person) Be the point of contact for SDMA to review and approve releases related to operational tools & cloud software ecosystem Be the point of contact for SDMA for safety related off-vehicle software issues. Triage the issue and lead/support the issue resolution process. Be available to support onsite issue investigation and resolution with short notice. Be a part of the rotational on-call engineering team during milestone launch and operations. Qualifications B.S. or higher degree in Computer Science, or equivalent experience in a relevant engineering field Have minimally 7-9 years of working level experience and 3+ years related to the safe operation of complex engineering systems Proficient in Python, C++, and/or Java Solid understanding of software architecture principles and design patterns Experience in developing operational tools/features Experience with release management process Experience distributed systems, telemetry, or cloud platforms Systems engineering and system safety training Possesses excellent EQ with an empathetic communication style that fosters connection, collaboration and motivation Bonus Qualifications Have experience (5+ years) in developing and deploying complex operational tools/features in relevant domains Experience with networking, routing, or application-layer protocols like gRPC or DDS Working experience in automotive industry or the autonomous driving technology industry Working level experience with safety critical systems Familiarity with formal safety analysis (STPA, FTA, etc) Working experience with front-end development for operational tools Experience in designing modular, scalable, and maintainable software architectures that can handle complex operational tasks and integration Track-record in managing complex cross-functional projects 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 $166,000 to $273,000. 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 Autonomy Software Metrics team at Zoox is responsible for building metrics and machinery for Autonomy/AI Software evaluation. We work closely with Autonomy Software development teams (Product management, Perception, Prediction, Planner and Collision Avoidance) to provide metrics evaluation on safety, progress and comfort at both the component and integration level. We also work closely with Simulation, Infrastructure, Software Core and SWQA teams to build metrics platforms to accelerate the AI software development lifecycle. The team currently consists of data scientists, data engineers, software engineers, and system engineers. As Zoox advances into the future of autonomous driving and expands rapidly on our operating geofences and operational design domains, we are also evolving our AI Metrics and Evaluation approach. In this role as Principal Software Engineer, you will lead and spearhead the concept of “validation for good driving”. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. This role will strongly impact both immediate company milestones and forward looking exploratory projects. In this role, you will Technically lead the definition and work planning in advancing AI evaluation beyond safety, progress and comfort. Collaborate with autonomy software leaders, data scientists and engineers to prototype and evaluate the concepts. Drive process improvements on data curation, metrics development and metrics quality. Collaborate with Zoox Foundation Model team to leverage the foundation models used for offline validation and/or triage. Use multi-modal data from across the company to develop models and strategies that improve the speed and quality of our validation process. Work with Infrastructure and Simulation teams to build new capabilities in AI evaluation that are not currently available. Provide technical mentorship to the broader groups at Zoox. Qualifications BS, MS, or PhD degree in computer science or related field Experience with ML evaluation in Autonomous Driving, GenAI, or Physical AI, Robotics etc. Proven track record of technical leadership in large-scale AI organizations Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Python Strong mathematics skills 10+ years of experience Bonus Qualifications Prior experience with using foundation models to advance ML evaluations Experience with training and deploying Deep Learning models Direct working experience in Autonomous Driving 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 $308,000-$387,000. 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.

The Mission Planner team at Zoox is responsible for creating high-level routes for our autonomous vehicles to transport passengers to their destinations. You will work closely with our Cloud Services team to facilitate pick-up and drop-off requests, along with live traffic data among other inputs. You will also integrate closely with the decision-making and trajectory planning and controls teams to allow dynamic planning. This team will enable the core ability for our vehicles to choose the best routes through cities and adapt in real-time. We are seeking an engineer who is passionate about tackling the complexities of mission planning in dynamic cities. You should be driven to contribute innovative solutions to architecture and design and take responsibility for significant software components. If you like to work close to the robot platform and enjoy experiencing your developed software in the robot, we would like to hear from you. In this role, you will: Develop mission planner algorithms, including graph search and integration with behavioral planning Integrate and test your developed applications in the robot, learn and make improvements. Work collaboratively with passionate team members to support the integration of software components from all teams throughout Zoox. Set the short and long term technical direction for the team and collaborate on the broader company-wide directions Coordinate cross-functional initiatives with other teams across Mission Planning, Behavioral Planning and Cloud Services. Qualifications BS/MS in Computer Science or a related field Programming skills in C++ Understanding and experience with a variety of graph search techniques (A*, D*, Dijkstra …) Demonstrated ability to write code for a shipped product (commercial robotics, drones, consumer devices, automotive) Ability to work on multiple layers of the autonomous driving compute stack at least 8 years of industry experience Bonus Qualifications PhD in computer science or related field Experience with autonomous robots 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 $169,000 to $256,000. 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 seeking a seasoned Software Engineering Manager to lead the Robot Link Platform team. The team is critical in enabling successful driverless robotaxis service, operating at the intersection of robot software and cloud services/front-end tools for fleet management, telemetry and rider support. The team is responsible for microservices that ensure reliable, mission-critical communication, as well as offer optimal abstraction between our robot and all the services for operation. You will be leading a team spanning diverse technologies and skill sets, This role requires high cross-functional interaction across all aspects of robot and service enablement. In this role, you will: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement Provide technical guidance, establish and monitor key performance indicators to measure the effectiveness of optimization strategies and drive continuous improvement Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed Work with partner teams to deliver tested high quality solution that meets the requirements of client services, as well as ensure smooth integration, deployment Proactively identify risks (schedule/quality/feature) and put in mitigation measures Qualifications: BS / MS in Computer Science or similar degree and/or 10+ years of relevant experience 5+ years of management experience including personnel management, hiring, budget Experience successfully shipping large-scale backend services/ platforms to production Leading & delivering in fast paced and agile environment, in a highly cross organizational setup Proficiency in one or more programming languages like Typescript, Go, Java, Javascript Bonus Qualifications Experience working with networking stacks (TCP/IP, video streaming) Experience in AV Industry or other mission critical systems 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. 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.

Zoox is looking for a Test Engineer to build test solutions for manufacturing the electronic platform that underpins our autonomous vehicles. In this role, you will be responsible for the development of tests for critical components of the controls and compute system, including custom PCIe devices, networking solutions, and other PC components. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! The ability to work independently and organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build and release test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts and code to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Ability to work cross-functionally to implement the correct test coverage across all phases of manufacturing (PCBA, module, system, vehicle) Release updated test programs for new generations of hardware and software for networking and related product families Support the test and validation of prototype designs Establish best practices and drive continuous improvement for improving test deployments, runtimes, and yields Qualifications BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 4+ years of industry experience or equivalent, including expertise in manufacturing and production testing of electronic assemblies; knowledge of NPI testing and validation is a strong plus. Experience with developing manufacturing tests of electronic hardware, such as network switches Strong knowledge of Python and shell (bash) scripting. Experience with other programming languages, such as C++ or C#, is beneficial. Knowledge of factory automation frameworks, such as Ignition, and commonly used Python frameworks, such as pytest. Experience with the Linux platform - Ability to debug failures using terminal commands (e.g. lshw) as well as common test and measurement equipment such as multimeters and oscilloscopes. Bonus Qualifications MS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree Knowledge of automotive protocols such as CAN and hardware interfacesExperience with high-speed links such as GMSL, PCIe Strong expertise in troubleshooting manufacturing test-related issues Experience working with CMs through all product life cycles - NPI and sustaining 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.

At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively seeking a full-time (30 hours or more) Psychiatric Nurse Practitioner (PMHNP) to join our group in California. While working with us, you will have the ability to treat the way you want to treat. PMHNP's with us have the opportunity to do as much or as little psychotherapy as they like. Additionally , providers have the ability to create their caseload and number of patients they would like to see. What we offer Nurse Practitioners Competitive compensation package based on productivity with uncapped earning potential Comp range of $200,000 to $255,000 Sign-on bonus Yearly Incentive bonus Comprehensive benefits package 401K with 4% match Part-time and full-time options Yearly funds towards association or license dues CME allowance Paid paternity leave Malpractice insurance provided Location and Schedule Santa Monica, CA Locations are throughout the area to make commuting easier Beautifully designed offices that are thoughtfully laid out. Monday – Friday with weekends optional Flexible schedule to accommodate work/life balance and personal schedules Hybrid between office and home Nurse Practitioners are a critical part of our clinical team. We’re seeking Nurse Practitioners that are: Licensed in California PMHNP certified 103 Status preferred At least 1 year if independent psych NP experience Experienced with adult and/or child and adolescent populations. Experienced in both medication management as well as therapy. To learn more please contact Nick at nick.weeks @lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com . Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security.

At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively seeking a part-time (15 hours and up) or full-time (30 hours or more) Adult or Child & Adolescent Psychiatrist to join our group in California. While working with us, you will have the ability to treat the way you want to treat. Psychiatrists with us have the opportunity to do as much or as little psychotherapy as they like. Additionally , providers have the ability to create their caseload and number of patients they would like to see. What we offer Psychiatrists Competitive compensation package based on productivity with uncapped earning potential Comp range of $375,000 to $440,000 Sign-on bonus Yearly Incentive bonus Comprehensive benefits package 401K with 4% match Part-time and full-time options Yearly funds towards association or license dues CME allowance Paid paternity leave Malpractice insurance provided Location and Schedule Emeryville, CA Locations are throughout the area to make commuting easier Beautifully designed offices that are thoughtfully laid out. Monday – Friday with weekends optional Flexible schedule to accommodate work/life balance and personal schedules Hybrid between office and home (as little as 1 day a week in the office) Psychiatrists are a critical part of our clinical team. We’re seeking Psychiatrists that are: Licensed in California BE/BC Experienced with adult and/or child and adolescent populations. Experienced in both medication management as well as therapy. To learn more please contact Nick at nick.weeks @lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com . Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security.