Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem for mobility-as-a-service in urban environments.

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Staff Systems Engineer to lead their Perception System Verification and Validation efforts. This role is crucial within the System Design and Mission Assurance (SDMA) team, which is responsible for ensuring the safety of their autonomous vehicles before deployment.

The position offers an exciting opportunity to work at the intersection of autonomous driving, machine learning, and systems engineering. As a Staff Systems Engineer, you'll lead a small team developing cutting-edge verification and validation methodologies for the Perception stack. The role involves working with complex systems including cameras, radar, and LIDAR, while leveraging both traditional and innovative ML-based testing approaches.

The compensation package is comprehensive, ranging from $189,000 to $273,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers excellent benefits including various insurance options and paid time off. Located in Foster City, CA, with a hybrid work arrangement, this position provides a balance between office collaboration and remote work flexibility.

This is an ideal role for an experienced systems engineer with a strong background in perception systems, machine learning, and team leadership. The position requires 7+ years of industry experience and offers significant growth opportunities through demonstrated achievement. You'll be working in a transparent, respectful culture that values diverse perspectives and innovative thinking.

The role combines technical leadership with hands-on engineering work, requiring expertise in Python, SQL, and Linux systems. You'll be instrumental in developing new testing methodologies, managing test campaigns, and contributing to Zoox's safety case for autonomous vehicles. The position offers the unique opportunity to shape the future of autonomous mobility while working with cutting-edge technology and a talented team.

Lead Perception System V&V engineer role at Zoox, developing verification methodologies for autonomous vehicle systems with $189K-$273K salary plus equity.

Staff Systems Engineer, Perception System Verification and Validation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Senior/Staff Software Engineer to join their Metrics Tooling and Automation team. This role is crucial in ensuring the safety and reliability of Zoox's autonomous vehicles through sophisticated simulation and validation processes.

The position sits at the intersection of autonomous vehicle development, data analytics, and systems automation. You'll be working with a team responsible for designing and executing large-scale simulations to validate Zoox's hardware and software performance. This role is particularly important as it directly impacts the company's ability to safely deploy driverless robots on public roads.

As a Senior/Staff Engineer, you'll be responsible for building and scaling critical systems that automate complex processes and generate insights that drive company-level decisions. The role requires expertise in Python and experience with large-scale automation workflows. You'll work cross-functionally with teams across simulation, infrastructure, planning, and perception, making your communication skills as important as your technical abilities.

The compensation package is competitive, ranging from $210,000 to $289,000 in base salary, plus additional components including Amazon RSUs and Zoox Stock Appreciation Rights. The company offers comprehensive benefits including health insurance, paid time off, and various insurance coverages.

This is an excellent opportunity for an experienced engineer who wants to make a significant impact in the autonomous vehicle industry. You'll be working on cutting-edge technology while helping to shape the future of urban mobility. The hybrid work environment in Foster City, CA, offers flexibility while maintaining collaborative opportunities with the team.

The ideal candidate will bring 8+ years of industry experience in data-driven algorithm development, strong Python skills, and a track record of shipping large-scale automation workflows. Experience with Scala, Spark, or Databricks would be advantageous, as would previous experience in the autonomous vehicle sector.

Senior/Staff Software Engineer position at Zoox focusing on metrics tooling and automation for autonomous vehicle simulation and safety validation.

Senior/Staff Software Engineer, Metrics Tooling and Automation

Zoox is seeking machine learning engineers to develop systems that evaluate and enhance autonomous driving behaviors through learning from expert human drivers. The role focuses on building core technologies to benchmark vehicles against expert human driving and tune driving software for more human-like behaviors, ensuring safe, comfortable, and natural driving experiences.

As a Senior Machine Learning Engineer in the Autotuning team, you will be responsible for designing and implementing ML systems that learn from expert human driving data to model human-like behaviors. Your work will involve developing evaluation methods to measure human-likeness in autonomous driving and creating AutoML systems to optimize driving software.

The position requires expertise in working with large-scale datasets and distributed training pipelines to deliver production-ready ML solutions. You'll collaborate across teams, including planner, simulation, and infrastructure, to drive measurable improvements in vehicle behavior.

The compensation package is comprehensive, including a base salary range of $230,000 - $277,000, Amazon RSUs, Zoox Stock Appreciation Rights, and potential sign-on bonuses. Benefits include health insurance, long-term care insurance, disability insurance, life insurance, and paid time off.

Zoox stands at the intersection of robotics, machine learning, and design, working to revolutionize urban mobility. The company values diverse perspectives and encourages applications from candidates who may not meet every listed qualification but bring unique experiences and skills to the team.

Senior Machine Learning Engineer position at Zoox focusing on developing ML systems for autonomous vehicle behavior optimization and human-like driving patterns.

Senior Machine Learning Engineer - Autotuning

Zoox develops full-stack autonomous mobility solutions for cities and aims to deploy a safe robotaxi service.

Zoox, a pioneering company in autonomous mobility, is seeking a Senior or Staff Machine Learning Engineer to join their System Design and Mission Assurance (SDMA) team. This role is crucial in developing and enhancing automated testing and validation processes for their robotaxi service.

The position focuses on applying cutting-edge machine learning techniques to improve the efficiency and scalability of testing processes across massive datasets. The engineer will work with both real-world fleet logs and synthetic data, directly impacting the validation of software changes and ensuring the safety and reliability of Zoox's robotaxi service.

Key responsibilities include leading technical initiatives in ML and data science, improving model interpretability, enhancing feature representation for driving scenarios, integrating AV performance data, and optimizing models through data science. The role requires collaboration with various teams including system safety, data science, software, and fleet operations.

The ideal candidate should have 5+ years of experience or a PhD in a relevant field, with strong expertise in machine learning concepts and programming skills in Python. Experience with ML libraries like PyTorch, TensorFlow, and Jax is essential, as is knowledge of large-scale data processing and distributed computing. Background in robotics or autonomous vehicles is highly valued.

Zoox offers a comprehensive compensation package including a base salary range of $210,000 - $289,000, Amazon RSUs, and Zoox Stock Appreciation Rights. Additional benefits include health insurance, paid time off, and various insurance coverages. The company provides a transparent, respectful culture with strong leadership and opportunities for career growth through demonstrated achievement.

This high-impact position offers the chance to work at the forefront of autonomous vehicle technology, combining machine learning expertise with practical applications in vehicle safety and validation. The role presents an excellent opportunity for those passionate about advancing autonomous vehicle technology while ensuring public safety.

Senior/Staff ML Engineer role at Zoox focusing on autonomous vehicle validation using machine learning techniques and data science methodologies.

Senior/Staff Machine Learning Engineer, Autonomy Validation

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Senior Software Engineer to join their Software Systems Infrastructure team. This role is crucial in developing safety-critical software for their revolutionary autonomous vehicle fleet. The position offers a competitive salary range of $210,000 - $252,000, plus additional compensation through Amazon RSUs and Zoox Stock Appreciation Rights.

The role combines full-stack development with safety-critical systems, where you'll be working with cutting-edge technologies including Python, ReactJS, TypeScript, and various database systems. You'll be responsible for creating infrastructure and tools that enable software developers to build, track, and maintain safety-critical code that meets high assurance standards.

This is an exciting opportunity to work at the intersection of robotics, machine learning, and automotive technology. You'll be part of solving one of the most complex challenges in software engineering - developing reliable, safety-critical systems for autonomous vehicles. The role requires collaboration with cross-functional teams across the organization, from AI Perception to RTOS and middleware components.

The ideal candidate brings 8+ years of industry experience with large codebases, strong proficiency in both frontend and backend technologies, and a solid understanding of cloud platforms. While the position requires significant technical expertise, Zoox values diverse perspectives and encourages applications from candidates with varied backgrounds and experiences.

Working in a hybrid setting in Foster City, CA, you'll be part of a fast-moving, execution-oriented team that's shaping the future of urban transportation. The company offers comprehensive benefits including health insurance, paid time off, and equity compensation through both Amazon RSUs and Zoox Stock Appreciation Rights.

Senior Software Engineer position at Zoox, developing safety-critical infrastructure and tools for autonomous vehicle systems, offering $210K-$252K plus equity.

Senior Software Engineer - Full Stack Web

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer to join their innovative team. This role sits at the intersection of artificial intelligence and autonomous driving, focusing on developing systems that evaluate and enhance autonomous driving behaviors through learning from expert human drivers.

The position offers a competitive compensation package ranging from $160,000 to $245,000 in base salary, complemented by Amazon RSUs and Zoox Stock Appreciation Rights. Located in Foster City, CA, with a hybrid work arrangement, this role provides an opportunity to work on cutting-edge technology that will shape the future of urban mobility.

As a Machine Learning Engineer, you'll be responsible for designing and implementing ML systems that learn from human driving data, developing evaluation methods for autonomous driving, and creating AutoML systems to optimize driving software. You'll work with large-scale datasets and distributed training pipelines while collaborating with cross-functional teams including planners, simulation experts, and infrastructure teams.

The ideal candidate should possess a strong educational background in Machine Learning or Computer Science (BS/MS/PhD) and demonstrate proficiency in Python and PyTorch. Experience with building ML systems, training and deploying models, and working with large datasets is essential. The role offers comprehensive benefits including health insurance, paid time off, equity opportunities, and various insurance coverages.

Zoox is committed to diversity and inclusion, welcoming candidates from various backgrounds and experiences. The company is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. This position offers an exciting opportunity to be part of a fast-moving team working at the forefront of autonomous vehicle technology and the future of urban transportation.

Machine Learning Engineer position at Zoox focusing on developing ML systems for autonomous driving behavior optimization and human-like driving patterns.

Machine Learning Engineer - Autotuning

Zoox is an autonomous vehicle company developing safe and reliable autonomous mobility solutions.

Zoox, an innovative autonomous vehicle company, is seeking a Senior Machine Learning Engineer specializing in Perception to join their team. This role presents an exciting opportunity to work on cutting-edge detection models using fused sensor data for autonomous vehicles. The position focuses on advanced projects aimed at developing next-generation driving software, including joint detection and tracking models, and implementing rich embeddings for downstream models.

As a Perception Engineer, you'll be at the forefront of developing more generalizable and adaptable models that will help Zoox navigate diverse and challenging circumstances. This role is crucial for the company's expansion into new areas and accelerating their mission to deliver safe and reliable autonomous mobility solutions.

The position offers a competitive compensation package including a salary range of $197,000-$252,000, Amazon RSUs, and Zoox Stock Appreciation Rights. The company provides comprehensive benefits including various insurance options and paid time off. Working in either Foster City, CA or Boston, MA in a hybrid setup, you'll collaborate with cross-functional teams including ML optimization, data labeling, metrics, and planning.

The ideal candidate should have an MS/PhD in Computer Science or related field, strong experience with PyTorch or similar ML frameworks, and a proven track record of deploying learned models into production. This role offers the unique opportunity to directly impact the future of autonomous vehicle technology while working with state-of-the-art machine learning approaches.

Senior Machine Learning Engineer position at Zoox focusing on perception systems for autonomous vehicles, offering competitive compensation and the opportunity to work on cutting-edge ML technologies.

Senior Machine Learning Engineer - Perception

Zoox is an autonomous vehicle company developing self-driving technology and robotaxis.

Zoox, a leading autonomous vehicle company, is seeking a Machine Learning Engineer specializing in Generative AI to join their Perception team. This role sits at the intersection of cutting-edge AI and autonomous driving technology, where you'll be responsible for developing synthetic data generation systems that enhance the training and evaluation of Zoox's autonomous driving capabilities.

The position offers an exciting opportunity to work with large-scale proprietary data and implement state-of-the-art generative AI techniques, including world models and radiance fields. You'll be directly contributing to the safety and reliability of autonomous systems through your work on sensor-level scenario generation.

As a senior member of the team, you'll lead the development of generative models, design sophisticated training techniques, and collaborate across multiple teams including perception, planning, safety, and simulation. The role requires expertise in Python, deep learning frameworks, and experience with large-scale model training.

The compensation package is competitive, ranging from $204,000 to $277,000 in base salary, plus additional components including Amazon RSUs and Zoox Stock Appreciation Rights. The position offers a comprehensive benefits package and the flexibility of hybrid work arrangements in either Foster City, CA or Boston, MA.

This is an excellent opportunity for someone with a strong academic background (MS/PhD) and relevant industry experience who wants to make a significant impact in the autonomous vehicle industry. The role combines theoretical machine learning expertise with practical applications in a rapidly evolving field, making it ideal for candidates passionate about both AI and autonomous systems.

Senior Machine Learning Engineer position at Zoox focusing on Generative AI for autonomous vehicle perception systems.

Machine Learning Engineer - Generative AI

Autonomous vehicle company developing self-driving technology with a focus on urban environments

Zoox is seeking a Machine Learning Engineer to join their Offline Driving Intelligence team, focusing on developing Foundation Models for prediction and planning in autonomous vehicles. This role sits at the intersection of cutting-edge AI and autonomous driving technology, where you'll work on developing novel machine learning pipelines and models to predict other agents' behavior and plan optimal vehicle actions.

The position offers an opportunity to work with state-of-the-art deep learning models, including imitation learning and reinforcement learning techniques, to solve complex autonomous driving challenges in urban environments. You'll be collaborating closely with Perception, Planning, and Simulation teams, contributing to large-scale machine learning infrastructure, and developing crucial metrics for system improvement.

The role requires either a PhD with 1 year of experience or an MSc with 5 years of experience, demonstrating Zoox's commitment to bringing in top talent. The compensation package is competitive, including a base salary range of $204,000 - $245,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The hybrid work environment in Foster City, CA, offers flexibility while maintaining collaborative opportunities with the team.

This is an excellent opportunity for someone passionate about autonomous vehicles and machine learning to work on real-world applications that will shape the future of transportation. The role combines technical depth in ML with practical applications in autonomous driving, making it an exciting position for those looking to make a significant impact in the field.

Senior Machine Learning Engineer role at Zoox focusing on prediction and planning for autonomous vehicles, offering $204K-$245K base salary plus equity in Foster City, CA.

Machine Learning Engineer - Prediction and Planning

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Prototype Engineer to join their Hardware Software Integration team. This role is crucial for ensuring the reliable operation of various hardware subsystems in their vehicle platform. The position offers a competitive compensation package ranging from $180,000 to $225,000 annually, plus equity components including Amazon RSUs and Zoox Stock Appreciation Rights.

The role combines hardware and software expertise, focusing on the development and integration of next-generation compute, sensor, and data networking systems for autonomous vehicles. As a Prototype Engineer, you'll be responsible for designing custom hardware solutions, creating prototypes, and ensuring seamless integration with existing electronic control units. The position requires strong technical skills in PCB design, circuit analysis, and programming, particularly in Python.

Zoox offers an exciting opportunity to work at the intersection of robotics, machine learning, and automotive technology. The company is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. This position is perfect for someone with 5+ years of experience who wants to make a significant impact in the autonomous vehicle industry.

The role offers a comprehensive benefits package including health insurance, long-term care insurance, disability insurance, life insurance, and various time-off options. The hybrid work environment in Foster City, CA, provides flexibility while maintaining collaborative opportunities with the team. Zoox values diverse perspectives and encourages applications from candidates with varied backgrounds and experiences, even if they don't meet every listed qualification.

This is an excellent opportunity for an experienced engineer who wants to be part of a fast-moving, execution-oriented team that's shaping the future of urban mobility. The role combines technical challenges with the excitement of working on cutting-edge autonomous vehicle technology, making it an attractive position for those interested in both hardware and software integration.

Prototype Engineer position at Zoox, focusing on hardware-software integration for autonomous vehicles, offering $180K-$225K plus equity in Foster City, CA.

Prototype Engineer

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Senior Software Engineer to join their Vehicle Experience team. This role is crucial in shaping the future of transportation through their innovative autonomous vehicle fleet. The position focuses on developing software that manages ride states and orchestrates the rider experience, including audio, lighting, vehicle controls, and infotainment systems.

The role requires expertise in C++ development on Linux systems, working under resource constraints to create software that sits at the intersection of all rider-facing systems. You'll be responsible for implementing highly visible features that directly impact the rider experience, from improving vehicle mission handling to personalizing the experience based on rider preferences.

Working at Zoox means joining a team at the cutting edge of robotics, machine learning, and design. The company offers a comprehensive benefits package including equity through both Zoox Stock Appreciation Rights and Amazon RSUs, along with competitive health insurance and other benefits. The position offers a base salary range of $185,000 - $232,000, with additional compensation components available.

The ideal candidate will have 4+ years of software development experience, strong C++ skills, and experience with modern software development practices. You'll work cross-functionally with various teams, from vehicle software to UX design, ensuring the delivery of integrated solutions that advance autonomous vehicle technology. This is an opportunity to work on groundbreaking technology that will reshape urban transportation while being part of a fast-moving, execution-oriented team.

Senior Software Engineer position at Zoox focusing on C++ development for autonomous vehicle experience systems, offering $185K-$232K base salary plus equity and benefits.

Software Engineer - C++ Development, Vehicle Experience

Zoox is building autonomous robotaxis to reimagine transportation with safe, reliable, clean vehicles.

Zoox, a pioneering company in autonomous transportation, is seeking a Principal Software Engineer to lead their ML Infrastructure team. This role is crucial in their mission to revolutionize transportation through autonomous robotaxis. The position offers an opportunity to shape the future of autonomous driving technology while working with cutting-edge ML and CV systems.

The role involves leading the development of next-generation ML Infrastructure that will significantly reduce development and deployment time for large-scale ML and Foundational models. You'll be responsible for managing data infrastructure handling petabytes of sensor data, operating compute infrastructure across thousands of GPUs, and overseeing ML tools and frameworks for both in-vehicle and off-vehicle applications.

Working at Zoox means joining a company at an exciting stage of deploying robotaxis, where your impact can be substantial. You'll collaborate with various AI teams, including Perception, Prediction, Planner, Simulation, and Collision Avoidance, pushing the boundaries of ML implementation in autonomous vehicles.

The compensation package is highly competitive, ranging from $373,000 to $448,000 in base salary, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers comprehensive benefits including various insurance options and paid time off. The hybrid work environment in Foster City, CA, provides flexibility while maintaining collaborative opportunities.

This role is perfect for a deeply technical, influential leader who can both architect complex systems and mentor teams. You'll need expertise in ML infrastructure, distributed systems, and modern ML frameworks, making this an ideal position for someone wanting to make a significant impact in autonomous vehicle technology while leading and growing a team of talented engineers.

Lead ML Infrastructure development at Zoox, building systems for autonomous vehicle development with focus on data processing, model training, and deployment.

Principal Software Engineer, ML Infrastructure

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Software Engineer specializing in Metrics Tooling and Automation. This role is crucial for ensuring the safety and reliability of Zoox's autonomous vehicle fleet through sophisticated simulation and analysis tools.

The position sits at the intersection of autonomous vehicle development, data analytics, and system automation. You'll be working with a team responsible for designing and executing large-scale simulations to validate Zoox's hardware and software performance in real-world scenarios. This role combines technical expertise in Python development with cross-functional leadership, requiring both strong coding skills and the ability to communicate complex technical concepts to various stakeholders.

As a key member of the System Design and Mission Assurance team, you'll be responsible for building and maintaining critical tools that directly impact company-level decisions about deploying driverless robots on public roads. The role offers an exciting opportunity to work with cutting-edge technology in autonomous vehicles while developing scalable solutions for complex engineering challenges.

The compensation package is highly competitive, including a base salary range of $210,000 to $303,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers comprehensive benefits including various insurance options and flexible time off policies. Working in a hybrid model at Foster City, CA, you'll be part of a fast-moving team that values innovation and execution.

This role is ideal for an experienced engineer who is passionate about autonomous vehicle technology and has a strong background in data-driven algorithm development. You'll have the opportunity to shape the future of urban mobility while working with state-of-the-art simulation and automation tools. The position offers significant growth potential and the chance to make a meaningful impact on the development of autonomous vehicle technology.

Senior Software Engineering role at Zoox focusing on metrics tooling and automation for autonomous vehicle simulation and safety analysis.

Zoox Engineering Jobs

Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem for mobility-as-a-service in urban environments.