Engineering Manager, Simulation Scenario Generation
Job Location:
Foster, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Our Simulation team builds the tools that engineers across the company rely on to validate autonomous vehicle safety and performance - including 3D scenario authoring tools generative models for realistic traffic and scenario generation and agentic tooling that automates manual simulation workflows. The team combines traditional software engineering with machine learning engineers and the simulation coverage they deliver directly determines how many miles scenarios and edge cases we can validate before each autonomy release.
Were 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. Youll own the teams technical direction - including its ongoing shift toward generative AI - while growing and developing the team and youll 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 teams 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 companys generative scenario creation capabilities partnering with stakeholders across engineering and earning executive sponsorship.
- 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.
- 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.
Bachelors 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.
Required Experience:
Manager
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
