<div><p style="margin-top:12pt;margin-bottom:12pt;"><span style="font-size:11pt;font-family:Arial , sans-serif;">Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.</span></p><p style="margin-top:12pt;margin-bottom:12pt;"><span style="font-size:11pt;font-family:Arial , sans-serif;">As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.</span></p></div><br><br><h3>In this role, you will:</h3><ul><div><li><span style="font-size:11pt;">Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.</span></li><li><span style="font-size:11pt;">Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.</span></li><li><span style="font-size:11pt;">Identify and resolve "sim-to-sim" and “sim-to-real” fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.</span></li><li><span style="font-size:11pt;">Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.</span></li><li><span style="font-size:11pt;">Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.</span></li></div></ul><h3>Qualifications:</h3><ul><div><li><span style="font-size:11pt;">PhD or Master’s in computer science, robotics, machine learning, or a related field.</span></li><li><span style="font-size:11pt;">Deep understanding of reinforcement learning and its application in simulated or robotic environments.</span></li><li><span style="font-size:11pt;">Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).</span></li><li><span style="font-size:11pt;">Strong proficiency in C++ and Python for building and deploying production machine learning systems.</span></li><li><span style="font-size:11pt;">Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.</span></li></div></ul><h3>Bonus Qualifications:</h3><ul><div><li><span style="font-size:11pt;">Experience with GPU programming (CUDA) or high-performance compute clusters.</span></li><li><span style="font-size:11pt;">Automotive or autonomous robotics industry experience.</span></li><li><span style="font-size:11pt;">Strong background in deterministic systems and latency optimization.</span></li></div></ul><br><div><b>About Zoox</b></div><div>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.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>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.</div>

<p>Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on individual car ownership in urban areas.&nbsp;</p>

Machine Learning Engineer - Simulation Framework

<div><p><span>Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.</span></p><p><span>As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.</span></p></div><br /><br /><h3>In this role, you will:</h3><ul><div><li><span>Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.</span></li><li><span>Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.</span></li><li><span>Identify and resolve "sim-to-sim" and “sim-to-real” fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.</span></li><li><span>Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.</span></li><li><span>Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.</span></li></div></ul><h3>Qualifications:</h3><ul><div><li><span>PhD or Master’s in computer science, robotics, machine learning, or a related field.</span></li><li><span>Deep understanding of reinforcement learning and its application in simulated or robotic environments.</span></li><li><span>Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).</span></li><li><span>Strong proficiency in C++ and Python for building and deploying production machine learning systems.</span></li><li><span>Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.</span></li></div></ul><h3>Bonus Qualifications:</h3><ul><div><li><span>Experience with GPU programming (CUDA) or high-performance compute clusters.</span></li><li><span>Automotive or autonomous robotics industry experience.</span></li><li><span>Strong background in deterministic systems and latency optimization.</span></li></div></ul><br /><div><b>About Zoox</b></div><div>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.</div><div><br /></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br /></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br /></div><div><b>A Final Note:</b></div><div>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.</div>

Machine Learning Engineer - Simulation Framework

About the Job

About the Company

Zoox

Similar Jobs

Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

Software Engineer - Learned Trajectory Machine Learning Engineer

Software Engineer - Learned Trajectory Machine Learning Engineer

Machine Learning Engineer, Simulation Scenario Generation

Machine Learning Engineer, Simulation Scenario Generation

Senior/Staff Machine Learning Engineer, Planning

Senior/Staff Machine Learning Engineer, Planning

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Machine Learning Engineer Intern - Scenario Simulation

Machine Learning Engineer Intern - Scenario Simulation

Software Engineer, Simulation

Software Engineer, Simulation

Machine Learning Engineer - Semantic Reasoning (Highway)

Machine Learning Engineer - Semantic Reasoning (Highway)

Senior/Staff Software Engineer - C++ Simulation Platform

Senior/Staff Software Engineer - C++ Simulation Platform