Engineering Manager (Simulation Scenario Generation)

Location: Foster City, California, United States; on-site

Company

Zoox develops autonomous vehicle technology and the software systems used to validate safety and performance.

What you will do

• Manage and grow a mixed team of software and machine learning engineers building simulation tools for autonomous vehicle validation.
• Set the technical direction for agentic tooling, generative models, scenario authoring tools, and simulation services.
• Lead cross-functional initiatives to scale generative scenario creation across the engineering organization.
• Own delivery of 3D visual editors and other simulation tooling used by engineering teams.
• Ensure simulation capabilities keep pace with new Operational Design Domain capabilities and autonomy milestones.
• Recruit, mentor, and develop engineers while partnering with product, safety, autonomy, and validation stakeholders.

Requirements

• 7+ years of software engineering experience in simulation, developer tools, infrastructure, or a related domain.
• 2+ years of direct management experience with software and/or machine learning engineering teams, including hiring, mentoring, and performance management.
• Experience leading cross-functional roadmaps and delivering shared engineering initiatives.
• 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.

Nice to have

• Experience managing teams combining software engineering with applied machine learning or generative AI.
• Experience with generative models for simulation or testing, including traffic infilling, scenario creation, or synthetic data.
• Experience scaling visual editors, agentic authoring tools, or other tools used across large engineering organizations.
• Background in autonomous vehicles, robotics, or another safety-critical, sensor-driven domain.
• Track record of leading high-visibility initiatives with executive stakeholders.

Culture & Benefits

• Full-time employment in an on-site engineering environment.
• Work on simulation capabilities that directly support autonomous vehicle safety validation.
• Collaborate with software, machine learning, product, safety, autonomy, and validation stakeholders.