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Our team designs, builds, and maintains software supporting the introspection of machine learning-based motion planners. We are responsible for developing introspection techniques and providing autonomy software engineers tooling used to understand and debug motion planning behavior. In this role, you will: Lead new initiatives to introspect the output of machine learning motion planning models. You will both utilize existing cutting edge techniques as well as develop novel introspection techniques. Design new architecture and implement new tools used to analyze machine learning model behavior. Collaborate with engineers on Perception, Prediction, Planning, Machine Learning Model, and Visualization teams to enable development of behavior improvements. Qualifications MS or PhD in Computer Science, Machine Learning, or a related field 5+ years of industry experience in Machine Learning–experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy, Jax) Strong understanding of Imitation and Reinforcement Learning concepts and motion planning search techniques Familiarity with common learned model introspection techniques Bonus Qualifications Familiarity with autonomous vehicles or robotics Solid understanding of LLM concepts Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) 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 Zoox Finance team is responsible for managing multiple aspects of our business, including maintaining short and long-term financial models, formulating financial statements and reports, implementing tools and processes, financial analysis of strategic initiatives, and much more. As a Financial Analyst supporting the Product and Operations functions, you will partner directly with organizations that drive commercialization and scaling of the Zoox ridehail service across all geofences. You will manage short and long-term financial planning cycles and financial and operational metric reviews to ensure efficient resource allocation. This will require a deep understanding of your business partners’ operations and spend drivers; establishing strong working relationships with executives, managers, and individual contributors across multiple departments; and utilizing enterprise systems and tools to establish robust financial models and dashboards. The goal for this role is to drive decision-making through timely and actionable financial insights. A successful candidate should be willing and able to work through ambiguity, roll up your sleeves to understand the financial needs of your business partners, and utilize critical thinking and problem-solving skills to optimize capital utilization. In this role you will: Own long-range, annual, and mid-year financial/operational planning for several key areas of the business including: financial modeling, strategic alternative analyses, and headcount planning Develop city-level financial models for commercial operations and drive plans for margin improvement as Zoox scales Manage close activities for your business partners, including: PO and invoice accruals, allocations, and variance analysis Analyze large financial datasets from Anaplan, SAP S4, SAP Ariba, and other internal data systems to drive actionable insights Support implementation of systems required for commercial operations through design, build, testing, and cutover phases Partner with other support organizations (PMO, Strategy, etc) to develop and recommend future operational scenarios Qualifications BA/BS degree, preferably in a Finance, Accounting, Data Science or a quantitative field 8+ years experience in an FP&A or similarly analytical role such as consulting 4+ years of direct experience building models, forecast input templates, dashboards, and business process development with Anaplan or other financial planning software Experience with annual budgeting, rolling forecasting, capital budgeting, and long-term strategic planning Experience working directly with best-in-class planning and reporting tools (Anaplan, OneStream, Looker, etc) Highly analytical, with proven ability to synthesize and analyze large amounts of data to develop clear insights and recommendations Ability to develop strong, cross-functional working relationships across the finance team and beyond 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 is seeking an experienced Manager, Industrial Engineering to lead the design and execution of logistics and material flow strategies across our manufacturing and distribution operations. The ideal candidate brings expertise in warehouse design, automotive logistics, and product launch readiness, with a focus on driving efficiency, optimizing material movement, and enabling scalable operations within our growing footprint. You’ll join a collaborative team dedicated to innovation, continuous improvement, and building a safer and more sustainable urban future. In this role, you will: Lead and develop a team of industrial engineers focused on efficient warehouse and manufacturing operations. Oversee lineside layouts, equipment planning, and material flow considerations. Partner closely with cross-functional teams during new product launches to ensure smooth coordination of logistics operations. Serve as a liaison to align communication, timelines, and operational requirements. Identify and drive process improvements that reduce cost and increase efficiency. Lead initiatives involving lean practices, automation, and technology adoption. Analyze material flow to uncover bottlenecks and inefficiencies. Implement strategies that reduce lead times, improve throughput, and optimize inventory levels. Define and maintain KPIs to measure logistics performance and effectiveness. Track progress and provide visibility to leadership. Translate company goals into operational objectives for the team. Promote productivity, collaboration, and integration within the broader organization. Qualifications Bachelor’s degree in Industrial Engineering, Logistics, Supply Chain Management, or a related field. 8+ years of experience in logistics or industrial engineering within a manufacturing or distribution environment. Automotive or production launch experience is preferred. Proven experience leading and developing engineering teams. Able to coach, delegate, and drive accountability. Strong expertise in warehouse design, material flow optimization, and new product introduction environments. Experience supporting layout planning and operational readiness. Proficiency with industrial engineering tools and methods, including lean principles, time studies, material and process mapping, and simulation. CAD skills, preferably AutoCAD, required. Strong analytical, communication, and cross-functional collaboration skills. Able to influence stakeholders and deliver measurable operational improvements. Bonus Qualifications Experience supporting automotive or high-tech manufacturing environments Familiarity with distribution center operations and fulfillment models Exposure to automation, warehouse technology, or advanced material handling systems Experience implementing lean systems in scaling organizations Simulation or advanced modeling capabilities 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.

In this high-impact role, you will manage the full recruiting lifecycle for a diverse range of critical Hardware positions, which may span Vehicle Development, Advanced Hardware Engineering, Supply Chain, Quality & Reliability, and Manufacturing Operations. You will act as a brand ambassador, partnering closely with hiring managers to qualify requirements, source, recruit, and close world-class engineering talent. The ideal candidate will thrive in a fast-paced environment and be genuinely passionate about Zoox’s mission. Note: This opportunity will start as a contract role, with the potential for conversion to a full-time position. In this role, you will: Own the full-cycle recruiting process with an emphasis on strong hiring manager partnership and effective candidate advocacy Source candidates, screen resumes, and evaluate candidates to determine fit Facilitate interview and hiring decision-making processes with interview panelists, hiring managers, and company leadership Manage the offer process, partnering with hiring managers, leadership, and HR teams Qualifications: 4+ years of full-cycle technical recruiting experience in a competitive industry (sourcing, screening, and closing candidates) Ability to evaluate technical aptitude and screen candidates for both technical and behavioral fit Tech and industry knowledge with the ability to understand relevant skills and companies within the industry Consultative and interpersonal skills with the ability to communicate across all levels of the organization Proficiency sourcing with LinkedIn as well as alternative techniques Bonus Qualifications: Interest in the autonomous and electric vehicle industry Expertise in leveraging at ATS (we use Lever) to build metrics, sourcing strategies, and talent pipelines Experience working for a recruiting agency Experience managing complex technical roles This is a contract position and employment for this position will be through a vendor contracted with Zoox. 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 inventors, builders, and doers, passionate and purposeful in the work we do. We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help. The People Experience (HR) Team is passionate about creating an engaging and rewarding employee experience. We are looking for a Staff People Partner to support some of our growing departments and corresponding clients. This role reports directly to our Director, People Development. In this role, you will.... Act as a strategic thought partner and advisor for business leaders on organizational design and effectiveness, workforce planning, talent practices, compensation, employee relations, learning and development. Lead organizational transformations; help design organizations in line with business strategy to drive change and transition management. Facilitate and drive all people experience programs for the department - onboarding, performance management, high-potential development program nominations, compensation planning, engagement survey action planning, and recognition programs. Manage projects effectively, meeting deadlines and objectives, and coordinate with cross-functional teams when necessary. Qualifications 10+ years of experience as a People Partner/HRBP. Demonstrated experience building relationships with senior leaders and cross-functional stakeholders. Experience contributing to the enhancement and scaling of programs. Demonstrated change management and project management skills. Excellent communication, interpersonal, consulting, teamwork, and influencing skills. Strong judgment in assessing employee and business risk. Knowledge of compensation strategies and packages that include equity. Organizational design and development experience. Experience in centers of excellence outside of people partner domain expertise is a plus. A leader who quickly ramps on business acumen, dives into details, is comfortable with ambiguity and drives results. Systems thinker who partners effectively with other departments within the people experience team and partners effectively with legal, finance and communications. Has breadth and depth of understanding of industry best practices in HR. 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.

As a Software Development Engineer in Test, you will validate firmware functionality at the component and subsystem level, ensuring features operate reliably within the broader vehicle platform. This includes testing embedded applications, control logic, and feature integrations across hardware interfaces, sensors, and actuators to confirm they meet functional, performance, and safety requirements. Your work directly impacts the quality and readiness of customer-facing features by catching issues early, improving integration stability, and enabling smooth handoff to system-level validation. Through close collaboration with firmware developers, systems engineers, and cross-functional teams, you will help deliver robust and reliable embedded features to production In this role, you will: Develop comprehensive test plans based on requirements Develop and implement automated tests on complex embedded systems Operate in multiple test layers optimized for efficiency, managing Manage test suites across multiple CI framework Develop new firmware tests / review and refine existing firmware tests Qualifications BS in relevant engineering discipline 2+ Years of relevant experience Strong interpersonal and communication skills Experience developing/testing embedded firmware Object-oriented programming experience (Python preferred) Bonus Qualifications Experience developing in C++ Experience with Python test frameworks (pytest, etc.) Experience with one or more functional safety standards (e.g., ISO 26262, IEC 62304, IEC 61508, DO-178) 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 $120,000 to $190,000. 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.

This role functions as the lead responsible for driving the commercial success and market health of Zoox's service in key launch cities. Operating with an entrepreneurial, metrics-driven mindset, this leader owns the growth and profitability of the operating cities, ensuring market potential is fully maximized for sustained financial performance. This is achieved through rigorous P&L accountability, data-informed Go-to-Market execution, high-value partnership monetization, and serving as the executive 'Voice of the Market' to influence Product, Engineering, and Service Operations teams. The role requires mastery of balancing market demands with operational constraints and successfully navigating complex regulatory hurdles. In this role, you will... Own the commercial performance, growth, and unit economics of Zoox’s service in key launch cities, with accountability for revenue, profitability, and city-level P&L health. Translate market intelligence into actionable strategies, serving as the executive “Voice of the Market” to guide Product, Engineering, Policy, and Service Operations toward decisions that unlock adoption and long-term marketplace health. Develop, test, and scale new monetization opportunities.. Conduct deep diagnostic analysis of supply-demand balance, customer behavior, funnel performance, cost drivers, and service quality to identify and resolve barriers to growth. Build and operationalize repeatable city-level playbooks, ensuring standardized and data-backed decision-making across launch, stabilization, and growth phases. Collaborate tightly with Operations, GTM, Policy, and Safety teams to successfully navigate local regulatory constraints, permitting requirements, operational limits, and fleet availability challenges. Drive rapid experimentation, validating hypotheses through controlled pilots, marketplace interventions, and data-backed iteration loops. Influence senior leaders through compelling narratives, blending data, customer insights, and market context to shape company-wide commercialization strategy. Qualifications 8+ years of experience in strategy & operations, GTM, marketplace operations, commercialization, new markets, or similar roles in high-growth tech, mobility, marketplace platforms, or regulated industries. Demonstrated ownership of P&Ls or key business lines, with a track record of improving profitability, ramping new markets, or scaling complex operations. Strong analytical and problem-solving skills, with proficiency in using AI tools to independently pull data, develop insights, and guide decisions. Experience driving Go-to-Market execution, including cross-functional readiness, feature rollouts, operational scaling, customer adoption strategies, and localized market activation. Ability to influence executive stakeholders, synthesize ambiguous data, and convert insights into clear recommendations and aligned action plans. Experience navigating regulatory environments, government stakeholders, or compliance-heavy markets (mobility, transportation, gig economy, healthcare, aviation, etc.). Exceptional communication and narrative-building skills, with the ability to advocate for city needs and articulate market realities across the enterprise. A builder’s mentality, with comfort operating in ambiguity, running pilots, iterating quickly, and creating new processes or playbooks from scratch. Demonstrated cross-functional leadership, especially with Product, Engineering, Operations, Policy/Legal, and GTM teams. BA/BS required in Business, Economics, or related discipline; MBA or advanced degree preferred. 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 Supplier Quality Engineer will play a key role in ensuring world-class performance of the Zoox prototype and production supply base, and drive continuous improvement. The ideal candidate will be entrepreneurial, driven, energetic, detailed, and team-oriented. In this role, you will: Assess the capability of potential suppliers Assess the manufacturability of new product designs and assist both Zoox engineering and its suppliers with improving manufacturability Manage product and process development with suppliers Assist suppliers with the development of manufacturing processes Review prototype and production part quality document submissions from suppliers, and provide feedback Issue corrective action requests to suppliers and provides support with their resolution Provide support to Manufacturing, Quality, and Vehicle Engineering regarding analysis and disposition of suspect supplier material Drive continuous improvement throughout the supply base using quality and lean manufacturing tools Improve Zoox supplier quality processes such as assessments, supplier management, part approval, and corrective actions Qualifications Experience in PCB/PCBA/Electromechanical casting, injection molding, and harnesses manufacturing Bachelor’s degree in Electrical, Mechatronics or Mechanical Engineering, or equivalent engineering degree Minimum of 8 years of experience in Quality, Supplier Quality, or Manufacturing, in the automotive, aviation, or medical device industries Experience in New Product Introduction (NPI) - Experience creating and improving quality systems Experience using problem-solving techniques such as Six-Sigma, 8-Discipline, Pareto Charts, Regression Analysis, ANOVA, DOE, Fish Bone Analysis, Red-X, Is / Is Not preferred Experience using quality analysis and control tools such as Process Flow Diagrams, Process FMEAs, Process Control Plans, SPC, MSA, Process Capability Bonus Qualifications Working knowledge of Geometric Dimensioning and Tolerancing Working knowledge of IPC-A-600, IPC-A-610 & IPC-A-620 standards Working knowledge of Quality Systems such as ISO 9000 and IATF 16949 - Certifications such as ASQ, Six Sigma Green Belt, or Six Sigma Black Belt Fully literate in Microsoft computer applications such as Word, Excel, and PowerPoint 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 Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi. The Autonomy and Product SW Technical Program Manager (TPM) in PMO is an experienced cross-functional program management leader that will be responsible for planning and execution of technical and integrated product milestones for our vehicle platforms. This person will work on programs to develop, validate, and improve our autonomous driving system, ultimately enabling the Zoox robotaxi to serve riders in a rapidly expanding operational design domain. This person will also be responsible for integration of Zoox’s cloud software systems which include customer-facing products as well operational tooling. In this role, you will: Partner with a wide range of department managers to translate the top-down corporate strategy and milestones into detailed technical roadmaps, timelines, and deliverables Influence key decisions working cross-functionally across engineering, product, operations, and strategy to reach the right outcomes Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Define, develop, and track new KPIs and other methods to measure performance that best translate progress towards goals Ensure program goals are aligned with business objectives; build and sustain momentum among cross-functional TPMs and workstreams towards delivering on time and on target Maintain a strong technical understanding of our vehicle platforms, software development lifecycle, safety clearance process, and test operations Qualifications: BS or MS degree in an engineering discipline or equivalent experience 8+ years of experience in engineering, program management, or management consulting with a focus on product development Success in leading complex cross-functional technical programs from start to finish Comfortable leading through ambiguity and enabling teams to perform in this environment Excellent written, presentation, and verbal communication skills are a must Proficient in using program management tools such as Jira Bonus Qualifications: Experience with autonomous vehicles, robotics or other complex, safety-critical systems Experience with developing from scratch and scaling engineering or operational processes Experience in a high-growth company 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 has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs Highlight potential risks and proactively build out risk-mitigating actions Build and deliver executive presentations on program status, issues/risks, and accomplishments Qualifications BS/MS degree in computer science, engineering or equivalent job experience At least 6 years of experience in engineering program management Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes Strong track record of managing complex cross-functional projects and problem solving An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, Smartsheet, JIRA, etc.) Excellent written, presentation, and verbal communication skills are a must, ability to create visualizations of KPIs and program risks Bonus Qualifications Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations Strong references that highlight your ability to build strong working relationships with senior leaders, program managers, and engineers across functions and departments 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’s Advanced Hardware Engineering team is in charge of delivering all the autonomous hardware, infotainment electronic control units and electrical components that go into Zoox’s future fleet of self-driving vehicles. Our sensors are mission-critical, as are the functional safety and systems engineering functions that ensure the integrity and safety of our architecture design. We are not a typical hardware team that simply delivers hardware that meets our performance and reliability specifications. We take extreme, end-to-end ownership of our sensor data product, ensuring that we deliver what our autonomy, software and safety customers need. We move fast here at Zoox, and many candidates will be asked from time to time to wear many hats. We would love to hear from you if you are up for solving very challenging problems across numerous cross-functional teams, delivering milestones with numerous dependencies and scaling your impact by developing and adopting structured ways of working. Additionally, if you are an expert at herding cats and influencing without formal authority, then this role was made for you! We are seeking an experienced and highly motivated TPM Manager to lead and mentor a team of Technical Program Managers (TPMs) focused on the delivery of our most complex and safety-critical sensor and system engineering initiatives. This role requires a unique blend of technical depth, people leadership, and expert program management. You will be responsible for overseeing the execution strategy and process quality across three critical domains: Sensors Programs, Systems Engineering, and Functional Safety Compliance (e.g., ISO 26262). The ideal candidate has a proven track record of scaling high-performing teams, partnering with numerous cross-functional teams and senior executives, and successfully delivering complex, multi-disciplinary technical products where safety and reliability are paramount. You will work in extremely close partnership with the Director of Sensors and Systems Engineering to strategize and do what needs doing. Develop strong cross-functional relationships at all levels, deepen the team’s understanding of Zoox’s complex product and interdependencies to AHE, and foster a collaborative “one Zoox” environment. Proactively identify and resolve systemic organizational and technical impediments that impact program velocity and quality. Facilitate both non-technical conversations (and technical ones as needed), align team perspectives, and support the development of options matrices to help the cross-functional program team make the right decisions. Provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments, in writing and via presentations. In this role, you will: Sensors Programs: Oversee the TPMs responsible for managing the full lifecycle of complex sensor integration programs (e.g., Lidar, Radar, visible and longwave infrared cameras) from definition and sourcing through mass production and deployment. Sensor Integration and Sensor Cleaning: Develop a full comprehensive of the interdependencies between sensors, sensor integration and sensor cleaning, and ensure seamless execution between the sensor and sensor integration & sensor cleaning teams. Systems Engineering and Functional Safety: In an individual contributor role, drive robust program management practices within the Systems Engineering and Functional Safety teams. Scope necessary work, create deliverables and timelines, and dashboards to track progress. Escalate risks , support cross-functional collaboration and help unblock the team as needed Own the consolidated roadmap and reporting for the portfolio of programs managed by the team, ensuring executive visibility into progress, risks, and dependencies. Oversee program assets and communication channels that ensure engineering teams understand what they need to deliver at all times, and are held accountable for delivering them. Work with cross-functional leaders and Finance teams to define and track resource requirements and spend against budget Work closely with procurement and supplier quality leaders to ensure an excellent partnership with suppliers. Qualifications Experience: 10+ years of total experience in technical program management (with some experience specifically managing sensor technology programs), with at least 3+ years managing and mentoring a team of TPMs, Technical Project Leads, or Engineers. Technical Domain Expertise: Deep knowledge and hands-on experience managing the development lifecycle of complex hardware/software systems (e.g., in robotics, automotive, aerospace, or industrial automation). Safety Standards: Strong experience managing programs compliant with industry functional safety standards (e.g., ISO 26262, IEC 61508, or equivalent) and quality management systems. Program Management Tools: Proficiency in and experience using tools required to manage complex projects (i.e. JIRA, smartsheets). Attitude: Remains flexible and calm in the face of uncertainty, and able to break down ambiguous problems into smaller puzzle pieces to solve. Self-motivated and proactive problem-solver Education: BS or MS degree in an engineering discipline or equivalent experience Bonus Qualifications Relevant Industry: Experience working with autonomous systems or in the automotive space. Supplier management: Significant experience working with suppliers to deliver products from conception to production, including managing FW updates, test failures and escalations Systems Acumen: Solid understanding of Systems Engineering principles, including requirements management, traceability, system characterization and architecture trade-offs. Certifications: PMP, PgMP, or Scrum Master certification. 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.

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. 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. As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. 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. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects. Responsibilities Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time Build multi-modal foundation models for on-vehicle and offline applications Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers on Prediction, 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 Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Experience with modern computer vision techniques Strong mathematical skills and understanding of probabilistic techniques 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 Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Experience with autonomous robots Experience with realtime sensor fusion (e.g. LiDAR, camera, radar) Experience with novel pipelines and architectures for convolutional neural nets Experience with 3D data and representations (pointclouds, meshes, 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 will range from $308,000-$370,000. 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 Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a Machine Learning Engineer on the Attributes team within the Perception department, you will take ownership of developing and enhancing sophisticated behavioral models for various road users, including vehicles, pedestrians, and cyclists. Your work will focus on creating and maintaining robust perception attribute models that generate critical signals for our autonomous driving stack. These signals are essential inputs that enable our Prediction and Planning teams to make intelligent, safe driving decisions for our autonomous vehicles. In this role, you will bridge the crucial gap between raw perception data and autonomous decision-making, working closely with cross-functional teams to optimize model outputs and enhance our system's overall perception capabilities. Your contributions will directly impact the safety and effectiveness of Zoox's autonomous vehicle platform, advancing our mission of revolutionizing urban mobility. Responsibilities You will work with Data Labeling and Ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes. You will lead the development of sophisticated behavioral models for vehicles, pedestrians, and cyclists as a key member of the Attributes team within Zoox's Perception department. You will create and maintain Perception attribute models that generate essential signals, enabling our autonomous vehicles to understand and predict the behavior of various road users. You will collaborate closely with Prediction and Planning teams to optimize your models' outputs. This will directly influence how our autonomous vehicles make real-time driving decisions and bridge the critical gap between raw perception data and autonomous decision-making. Impact Your work in the Attributes team is fundamental to Zoox's autonomous driving capabilities. The models you develop will serve as the foundation for how our vehicles understand and interact with other road users, directly contributing to the safety and effectiveness of our autonomous driving system. By creating reliable and accurate behavioral models, you enable Zoox's vehicles to make smart, safe decisions in complex urban environments, bringing us closer to our goal of revolutionizing urban mobility Qualifications MS/PhD in Computer Science or related fields with a minimum of 5 years of relevant experience Experience with training and deploying Deep Learning models Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency programming in Python and extensive experience with algorithm design Strong mathematics skills 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.

At Zoox, data is at the core of everything we do. As a Business Intelligence Engineer (BIE) working with the Autonomy Team, you will play a key role in empowering engineers and leadership with actionable insights to evaluate and improve Zoox’s autonomous driving capabilities. In this role, you will collaborate closely with AI engineers, data scientists, data engineers, and cross-functional stakeholders to design and implement BI solutions that provide critical visibility into system performance, safety, and customer experience. Your work will directly influence the development and validation of our autonomous technology, ensuring we meet the highest safety, comfort, and operational efficiency standards as we progress toward commercial deployment. In this role, you will: Partner with technical and non-technical stakeholders to identify their needs, translate them into analytical requirements, and deliver automated, actionable data solutions. Work closely with data engineers and data scientists to establish consistent, accurate metrics and data models. Increase the company’s data literacy by developing self-service tools and teaching others how to use them effectively. Design and maintain impactful visualizations and dashboards that give stakeholders actionable insights and drive data-informed decision-making. Champion best practices in reporting and workflows, including data integrity, scalability, validation, and thorough documentation. Qualifications: Background/knowledge in Computer Science, Applied Math, Engineering, Statistics, and 5 years of relevant industry experience. Proficiency in data visualization tools like Looker or Tableau. High proficiency in SQL and data manipulation. A passion for collaborating closely with stakeholders to deliver impactful data solutions. Bonus Qualifications: Understanding of Dimensional Data Modeling Proficiency in 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.

Join us as a Thermal Attribute Engineer specializing in Heat Protection and be at the forefront of innovation in autonomous vehicle technology! In this pivotal role, you'll develop cutting-edge thermal solutions for Zoox robots, leading simulations, testing, and data analysis. Your expertise will shape vehicle-level requirements and drive the development, testing, and validation of groundbreaking solutions. You'll regularly update leadership on your progress and see how your work impacts the future of transportation. If you're passionate about solving complex challenges and eager to redefine the passenger experience, we want to hear from you—come be a part of something extraordinary! In this role, you will: Set vehicle heat-protection targets, communicate the vision, develop development plans, and lead cross-functional teams. Cascade requirements to subsystems, establish best practices, and integrate thermal considerations early. Lead heat-protection workstreams, support testing and validation, analyze risk data, and ensure milestone progress. Track fleet thermal performance, investigate incidents, report metrics, and drive continuous enhancements. Present updates on heat protection status, track issues, and report status to the wider vehicle attribute team Track open issues and ensure progress to closure using Zoox systems (Jira, Confluence) Qualifications BS in Mechanical Engineering, Aerospace Engineering, or related field 8+ years of experience in thermal engineering or heat transfer applications, and a strong understanding of passive thermal management techniques Experience with thermal design and development, and vehicle-level testing and validation Experience in component integration and attributes management, preferably within the automotive sector Proficiency in thermal analysis tools and data analysis (Ansys Icepak) Bonus Qualifications MS or PhD in relevant engineering discipline Previous experience working in advanced or early concept phases Familiarity with fleet data analysis and monitoring systems Background in design for manufacturing and reliability 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.

We are seeking a highly analytical and detail-oriented Inbound Transportation Analyst to support inbound logistics operations in a production manufacturing environment. This role focuses on transportation data analysis, planning support, shipment visibility, and supplier readiness, while also supporting ad-hoc transportation needs as required. The Inbound Transportation Analyst will partner closely with Inventory Planners, Suppliers, and Logistics partners to ensure transportation plans are executable, data is accurate and complete, and shipments are tracked effectively through SAP Transportation Management (TM). This role also supports customs compliance activities and serves as a backup for import and export shipments. In this role, you will: Analyze inbound transportation data to support production transportation planning, shipment prioritization, and capacity alignment. Support planning and execution of ad-hoc inbound and outbound shipments. Partner with Inventory Planners to align transportation plans with material availability, production schedules, and build priorities. Assess supplier shipping readiness by reviewing lead times, documentation completeness, and historical performance data. Maintain accurate and timely shipment data in SAP Transportation Management (TM) to ensure end-to-end visibility and reliable reporting. Monitor in-transit shipments and analyze risks or trends that may impact delivery performance or production continuity. Collect, validate, and analyze transportation KPIs (on-time delivery, lead time variance, cost, supplier compliance). Support freight spend analysis, lane performance reviews, and carrier performance reporting. Identify data gaps, process inefficiencies, and system issues impacting transportation planning or visibility. Assist in developing dashboards, reports, and insights to support decision-making. Support import and export compliance activities through data validation, documentation review, and serving as a backup for import and export-related shipments. Collaborate with customs brokers, freight forwarders, and internal compliance teams to ensure accurate data submission and regulatory adherence. Participate in continuous improvement initiatives focused on transportation analytics, data quality, and planning effectiveness. Travel : up to 25% may be required (including international travel) Qualifications 5+ years of experience in transportation analytics, logistics planning, or supply chain analysis within a manufacturing or production environment. Bachelor’s degree in Supply Chain Management, Logistics, Business, Analytics, or a related field. Strong analytical skills with the ability to interpret transportation data and translate it into actionable insights. Experience working with SAP Transportation Management (TM) or similar transportation systems. Experience with inbound transportation processes, carrier management, and shipment lifecycle. Knowledge of freight spend modeling, lane optimization, or carrier scorecarding. Experience with import/export and customs compliance. Strong attention to detail and ability to manage competing priorities in a fast-paced environment. Strong communication skills and ability to work cross-functionally. Bonus Qualifications Experience supporting production or manufacturing planning teams. Familiarity with SAP S/4HANA integration and master data concepts. Experience building dashboards or automated reports (e.g., Excel, Google Sheets, BI tools). Lean, Six Sigma, or continuous improvement experience. Master’s degree in Supply Chain Management, Operations, or Engineering 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.

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Role Overview: The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail service to the general public. Eligibility: Must be at least twenty-one (21) years old, possess a valid CDL driver’s license, and have at least three (3) years of experience as a Class C licensed driver to operate Class C vehicles. Key responsibilities: Operate/Drive autonomous vehicles on both defined and undefined routes, including a variety of environmental conditions - driving (some manual driving but primarily monitoring the vehicle's behavior in autonomous mode) and (ii) software monitoring and logging responsibilities and providing verbal feedback/directions about the autonomous vehicles (AV) environment. Test other aspects of our autonomous vehicles Complete timely and detailed ride reports for our operations and engineering teams Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well as overnight shifts Maintain high standard of safety, inside and outside of the vehicle. Necessary skills: CDL Driver's License Proficiency with a laptop and Office apps (i.e., Gmail, Sheets and Docs) Proficiency using a handheld device/touchscreen smartphone Must have good attention to detail and be able to quickly and concisely describe their thoughts. Physical requirements: Occasional standing, walking, and long periods of sitting. Use hands to finger; handle or feel; and talk or hear; climb stairs and/or ladders. Occasionally required to reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. Must be able to occasionally lift and/or move up to 45 pounds. Must use close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. Most work is accomplished outdoors in a vehicle. We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!