Engineering Manager

Who you are

• 7+ years of software engineering experience, with demonstrated technical depth in simulation, developer tools, infrastructure, or a related domain
• 2+ years directly managing software and/or ML engineering teams, including hiring, mentoring, and performance management
• Experience partnering cross-functionally with leaders and stakeholders across engineering to prioritize and deliver a shared roadmap
• Strong understanding of simulation, testing, or validation systems for complex, safety-critical software
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Experience managing teams that combine traditional software engineering with applied ML or generative AI
• Familiarity with generative models applied to simulation or testing (e.g., traffic-infilling, scenario creation, synthetic data)
• Experience building or scaling tools used broadly across a large engineering organization, such as visual editors and agentic authoring tools
• Background in autonomous vehicles, robotics, or another safety-critical, sensor-driven domain
• Track record of leading high-visibility initiatives with executive stakeholders What the job involves
• We're looking for an Engineering Manager to lead a team of software and ML engineers building the scenario authoring tools, generative models, and agentic tooling that engineering relies on broadly to validate autonomous vehicle safety and performance
• You'll own the team's technical direction
• including its ongoing shift toward generative AI
• while growing and developing the team, and you'll partner cross-functionally to scale our generative scenario creation capabilities as a company-wide capability with executive visibility
• Manage and grow a mixed team of software and machine learning engineers building simulation tools that are used broadly across engineering to validate autonomous vehicle safety and performance
• Set and drive the team's technical direction, investing in agentic tooling to automate manual simulation workflows and deploying in-house generative models for exploratory vehicle testing
• Lead high-visibility, cross-functional initiatives to scale the company's generative scenario creation capabilities, partnering with stakeholders across engineering and earning executive sponsorship. (note about reporting directly to VPs on some projects)
• Own delivery of simulation tooling and services, including scenario authoring tools (e.g., 3D visual editors) used broadly across engineering teams
• Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and upcoming autonomy milestones
• Recruit, mentor, and develop engineers across both software and ML disciplines, including hiring ML engineers; build a strong team culture and clear growth paths
• Partner with product, safety, autonomy, and validation stakeholders to prioritize the roadmap, translate business needs into technical execution, and deliver against autonomy milestones Benefits
• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description