Senior Staff Engineer jobs at Zoox - 113 jobs

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, you will: * Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments * Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. * Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities * Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline * Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications * MS or PhD in Computer Science, Machine Learning, or related technical field * Demonstrated experience training and deploying large language models (LLMs) * Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation * Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects * Experience training with large scale datasets (e.g. tens of millions of videos) Bonus Qualifications * Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) * Experience with autonomous robotics systems $242,000 - $333,000 a year 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 [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

About Treering Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events. About the Role We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products. Responsibilities AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking. Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation. API Management: Oversee and manage the suite of APIs used in our AI solutions. Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS. State Machine Management: Design, implement, and manage state machines for orchestrating AI processes. Programming: Write and maintain Python code for AI models and API development. Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions. Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow. What We're Looking For Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 6+ years of experience in AI development and deployment. Strong proficiency in Python programming. Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, and RDS. Experience with API development and management. Solid understanding of machine learning algorithms and techniques. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Strong leadership and mentoring abilities. Why Join Treering? Impact: Your work directly contributes to modernizing the yearbook industry. Innovation: Work with cutting-edge technologies in an agile environment. Growth: Opportunities for career advancement and professional development. Culture: A collaborative, inclusive, and supportive team environment. Benefits Comprehensive medical, dental, vision, life/AD&D, and disability coverage Pre-tax savings/spending plans, including HSA employer contributions Parental Leave Benefits Pre-tax and Roth 401(k) plan with an employer contribution Flexible vacation for salaried Twelve paid holidays throughout the year $180,000 - $200,000 a year If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply. #J-18808-Ljbffr

Are you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design and seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. Life at Ware Malcomb. As a Project Engineer at Ware Malcomb, you will support the delivery of innovative mechanical engineering projects from concept through construction. You will assist in preparing mechanical design reports and calculations, perform code research, develop complete sets of construction documents, and provide construction services such as site visits. This is a great opportunity to collaborate with clients, consultants, contractors, and our dynamic team while advancing your career in mechanical engineering. Responsibilities Complete computer and hand calculations supporting the mechanical design utilizing the applicable building and material codes while maintaining a high level of accuracy and attention to detail throughout all phases of the project. Prepare and oversee the development of models, calculation packages, construction documents, and specifications. Collaborate with Project Managers, Senior Project Managers and department managers to plan project layouts and integrate mechanical elements into cohesive designs. Participate in internal and external project meetings, coordinating with other disciplines. Conduct field work including site verifications, assessments, and troubleshooting. Perform construction administration duties, including periodic site visits to ensure compliance with design intent. Support the development and maintenance of engineering standards. Participate in quality assurance and quality control process within the team. Mentor the team in the use of mechanical calculation software and assist in task organization. Lead and coordinate mechanical engineering projects as Engineer of Record (EOR) when assigned. Conduct peer reviews and prepare reports on findings. Qualifications Bachelor's degree in Mechanical Engineering from an ABET-accredited program Professional Engineer (PE) license required 5+ years of experience in a mechanical engineering role Proficiency in Revit required Experience in Plumbing and Fire Protection design is highly preferred Strong communication, organizational, and analytical skills Ability to manage multiple priorities and provide technical guidance to team members Ability to provide timely, dependable, and professional service in a fast-paced environment Strong grasp of advanced financial concepts, with proven ability to perform intermediate calculations and conduct in-depth financial analysis Compensation: $100,000 - $135,000 a year. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. At Ware Malcomb, certain roles are bonus eligible. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, planning, interior design, civil engineering, branding, building measurement, structural engineering and MEP services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, and public/institutional projects. For six consecutive years, Ware Malcomb has been ranked as the #1 Industrial Sector Architecture Firm by Building Design + Construction Magazine. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record\'s Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine\'s Top 100 Giants. For more information, visit Ware Malcomb.com. #J-18808-Ljbffr

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This high-impact position offers opportunities for career growth through demonstrated achievement. In this role, you will: * Lead Technical Initiatives: You will apply modern machine learning, leveraging large-scale data, to critical validation problems at the intersection of ML and data science. You will serve as a key contributor and tech lead on a small, focused team. * Improve Model Interpretability: You'll pioneer methods to understand the internal workings of our machine learning models. This work will be crucial for building trust and ensuring the safety of our autonomous systems. * Improve Feature Representation: You'll extend and refine the features and embedding space used by our models to better identify and cluster interesting driving scenarios. This involves leveraging a deep understanding of the autonomous driving stack and applying first-principles thinking to derive new, impactful features. * Integrate AV Performance Data: You'll incorporate metrics and information on autonomous vehicle (AV) performance into the model to make its risk predictions more accurate and relevant. * Collaborate Cross-Functionally: You'll work closely with system safety, data science, software, and fleet operations teams to understand their needs and integrate improvements that directly support our validation efforts. Qualifications * Experience: A PhD in a relevant field and/or 5+ years of experience working with machine learning models and data science methodologies in an industry setting. * Technical Skills: Expertise in machine learning concepts, including training deep learning models, evaluation, and optimization. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., PyTorch, TensorFlow, Jax). Experience with large-scale data processing and distributed computing. * Domain Knowledge: Experience in robotics, autonomous vehicles, or a related field, with an understanding of challenges in perception, prediction, and planning. * Mindset: Proven ability to drive progress independently, lead technical projects, and apply critical thinking to solve practical problems. * Communication: Excellent communication skills and the ability to work effectively with cross-functional teams. Bonus Qualifications * Real-world impact as demonstrated in publications, patents, presentations, blog posts, etc. * Familiarity with encoder-decoder or foundation models for prediction and planning. * Experience with test scripting and data analysis languages like SQL. * Experience with techniques for machine learning model interpretability and explainability. * Familiarity with the challenges of fleet data collection and validation in the autonomous vehicle space. $242,000 - $333,000 a year 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 [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation Improve rendering and tooling for generating realistic data at scale Qualifications: 7+ years of experience with programming and algorithm design Fluency in Python and C++ Experience building and extending radiance field ML models Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer Strong mathematical skills and understanding of probabilistic techniques Bonus Qualifications: Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Experience with generative models for 3D or video content Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender Experience in distributed systems and cloud computing platforms Experience in generative camera, lidar, radar, or LWIR $242,000 - $333,000 a year 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 ZooxZoox 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 AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. You will be part of the SDMA Safety Research team, which is scoped with enhancing the foundational approaches used in the safety case. The research you do could potentially lead to methodologies that can inform critical design aspects of the Zoox robotaxi. In this role, you will: * Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks * Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performances * Improve our safety risk assessments methodology and data sources * Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc. Qualifications * M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar * Proficiency in quantitative analysis/modeling and relevant tools * Have the ability to use Python to interface with Zoox internal driving and simulation data sources * 5+ years relevant experiences in analyzing automotive crash and naturalistic databases * Collaborative team player with strong written and verbal communication skills Bonus Qualifications * Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus * 7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology * Publications in the field of vehicle/traffic safety research and collision epidemiology $185,000 - $291,000 a year 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 [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.In this role, you will: Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training with large scale datasets (e.g. tens of millions of videos) Bonus Qualifications Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems About ZooxZoox 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 AccommodationsIf 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 a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This high-impact position offers opportunities for career growth through demonstrated achievement.In this role, you will: Lead Technical Initiatives: You will apply modern machine learning, leveraging large-scale data, to critical validation problems at the intersection of ML and data science. You will serve as a key contributor and tech lead on a small, focused team. Improve Model Interpretability: You'll pioneer methods to understand the internal workings of our machine learning models. This work will be crucial for building trust and ensuring the safety of our autonomous systems. Improve Feature Representation: You'll extend and refine the features and embedding space used by our models to better identify and cluster interesting driving scenarios. This involves leveraging a deep understanding of the autonomous driving stack and applying first-principles thinking to derive new, impactful features. Integrate AV Performance Data: You'll incorporate metrics and information on autonomous vehicle (AV) performance into the model to make its risk predictions more accurate and relevant. Collaborate Cross-Functionally: You'll work closely with system safety, data science, software, and fleet operations teams to understand their needs and integrate improvements that directly support our validation efforts. Qualifications Experience: A PhD in a relevant field and/or 5+ years of experience working with machine learning models and data science methodologies in an industry setting. Technical Skills: Expertise in machine learning concepts, including training deep learning models, evaluation, and optimization. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., PyTorch, TensorFlow, Jax). Experience with large-scale data processing and distributed computing. Domain Knowledge: Experience in robotics, autonomous vehicles, or a related field, with an understanding of challenges in perception, prediction, and planning. Mindset: Proven ability to drive progress independently, lead technical projects, and apply critical thinking to solve practical problems. Communication: Excellent communication skills and the ability to work effectively with cross-functional teams. Bonus Qualifications Real-world impact as demonstrated in publications, patents, presentations, blog posts, etc. Familiarity with encoder-decoder or foundation models for prediction and planning. Experience with test scripting and data analysis languages like SQL. Experience with techniques for machine learning model interpretability and explainability. Familiarity with the challenges of fleet data collection and validation in the autonomous vehicle space. About ZooxZoox 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 AccommodationsIf 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. You will be part of the SDMA Safety Research team, which is scoped with enhancing the foundational approaches used in the safety case. The research you do could potentially lead to methodologies that can inform critical design aspects of the Zoox robotaxi.In this role, you will: Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performances Improve our safety risk assessments methodology and data sources Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc. Qualifications M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar Proficiency in quantitative analysis/modeling and relevant tools Have the ability to use Python to interface with Zoox internal driving and simulation data sources 5+ years relevant experiences in analyzing automotive crash and naturalistic databases Collaborative team player with strong written and verbal communication skills Bonus Qualifications Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus 7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology Publications in the field of vehicle/traffic safety research and collision epidemiology About ZooxZoox 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 AccommodationsIf 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.

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. You will be part of the SDMA Safety Research team, which is scoped with enhancing the foundational approaches used in the safety case. The research you do could potentially lead to methodologies that can inform critical design aspects of the Zoox robotaxi.In this role, you will: Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performances Improve our safety risk assessments methodology and data sources Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc. Qualifications M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar Proficiency in quantitative analysis/modeling and relevant tools Have the ability to use Python to interface with Zoox internal driving and simulation data sources 5+ years relevant experiences in analyzing automotive crash and naturalistic databases Collaborative team player with strong written and verbal communication skills Bonus Qualifications Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus 7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology Publications in the field of vehicle/traffic safety research and collision epidemiology 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 ZooxZoox 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 AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Team You'll be part of the team building eBay Live, eBay's newest shopping experience and live shopping platform. Live shopping is a natural extension of eBay's ethos -highlighting unique items, collectibles, and fashion while enabling real-time interaction between buyers and sellers. This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC. We are looking to hire a passionate, collaborative and motivated Frontend Software Engineer, who will help us develop and evolve eBay Live to be a market leader in live shopping and become a key part of the global eBay platform. Join us to make an impact on one of the world's largest e-commerce websites. What you'll do and learn: * Translate requirements to software design and create clean, efficient, extensible, maintainable code. * Responsible for a large functional area possessing in-depth knowledge and expertise. * Influencer across domain teams and guiding others towards the right technical decisions. * Improves team productivity by identifying and evangelizing opportunities for productivity improvements. * Identifying areas in the team applications likely to change and integrating flexibility in the design for these areas improving engineering velocity. * Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles. * Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery. * Manage project features, break into sub-tasks, identify and resolve issues for efficient execution. * Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams. * Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution. * Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site. What you bring: * Excellent decision-making skills, thrive on dealing with ambiguities and changes. * Strong sense of ownership with outstanding interpersonal skills to work effectively across teams & multiple division stakeholders * Deeply care about growing others, great at mentoring and coaching, creating a large positive impact on organizational culture. * Strong learning ability, self-driven * Attending knowledge sharing sessions, both within the company and externally * Learning transferable skills * Growth mindset and constantly looking for opportunities to learn What we bring: * Exciting Product Mission with Impactful Technical Challenges - Dive into the heart of eCommerce innovation at Buyer Experiences, where we're transforming eBay's shopping journey. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the shopping experience for millions of eBay users everyday. * Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth. * Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly. * Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here: **************************************** Qualifications * Bachelor's degree in EE, CS or other related field. * 8+ years of experience designing front-end systems and development using Javascript/Typescript, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Angular Material),Integration with REST/GraphQL APIs * Experience in BEM-structured CSS, Webpack and Express.js * Contributions to common libraries/components * Designs and builds scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility. * Experience taking a lead role delivering complex software systems and have a strong opinion on how backend systems should work and be integrated seamlessly. The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Team You'll be part of the team building eBay Live, eBay's newest shopping experience and live shopping platform. Live shopping is a natural extension of eBay's ethos -highlighting unique items, collectibles, and fashion while enabling real-time interaction between buyers and sellers. This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC. We are looking to hire a passionate, collaborative and motivated Frontend Software Engineer, who will help us develop and evolve eBay Live to be a market leader in live shopping and become a key part of the global eBay platform. Join us to make an impact on one of the world's largest e-commerce websites. What you'll do and learn: Translate requirements to software design and create clean, efficient, extensible, maintainable code. Responsible for a large functional area possessing in-depth knowledge and expertise. Influencer across domain teams and guiding others towards the right technical decisions. Improves team productivity by identifying and evangelizing opportunities for productivity improvements. Identifying areas in the team applications likely to change and integrating flexibility in the design for these areas improving engineering velocity. Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles. Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery. Manage project features, break into sub-tasks, identify and resolve issues for efficient execution. Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams. Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution. Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site. What you bring: Excellent decision-making skills, thrive on dealing with ambiguities and changes. Strong sense of ownership with outstanding interpersonal skills to work effectively across teams & multiple division stakeholders Deeply care about growing others, great at mentoring and coaching, creating a large positive impact on organizational culture. Strong learning ability, self-driven Attending knowledge sharing sessions, both within the company and externally Learning transferable skills Growth mindset and constantly looking for opportunities to learn What we bring: Exciting Product Mission with Impactful Technical Challenges - Dive into the heart of eCommerce innovation at Buyer Experiences, where we're transforming eBay's shopping journey. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the shopping experience for millions of eBay users everyday. Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth. Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly. Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here: **************************************** Qualifications Bachelor's degree in EE, CS or other related field. 8+ years of experience designing front-end systems and development using Javascript/Typescript, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Angular Material),Integration with REST/GraphQL APIs Experience in BEM-structured CSS, Webpack and Express.js Contributions to common libraries/components Designs and builds scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility. Experience taking a lead role delivering complex software systems and have a strong opinion on how backend systems should work and be integrated seamlessly. The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety. In this role, you will: * Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. * Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. * Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. * Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes * Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans * Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated * Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications * Bachelor's or Masters degree in Engineering * At least 10+ years of experience in vehicle attribute development or integration * Deep technical understanding of vehicle systems, validation, and cross-functional integration * Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment * Experience leading and guiding a vehicle development program * Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications * Experience in Technical Program Management * Experience in electric or autonomous vehicle development preferred $187,000 - $225,000 a year 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 [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety.In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications Bachelor's or Masters degree in Engineering At least 10+ years of experience in vehicle attribute development or integration Deep technical understanding of vehicle systems, validation, and cross-functional integration Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment Experience leading and guiding a vehicle development program Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications Experience in Technical Program Management Experience in electric or autonomous vehicle development 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.About ZooxZoox 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 AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety.In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications Bachelor's or Masters degree in Engineering At least 10+ years of experience in vehicle attribute development or integration Deep technical understanding of vehicle systems, validation, and cross-functional integration Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment Experience leading and guiding a vehicle development program Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications Experience in Technical Program Management Experience in electric or autonomous vehicle development preferred About ZooxZoox 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 AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Join us 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 $164,000 - $225,000 a year 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 [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJoin 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 ZooxZoox 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 AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 About ZooxZoox 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 AccommodationsIf 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.