Engineering Manager, Simulation Scenario Generation

Responsibilities

• Manage and grow a mixed team of software and machine learning engineers building simulation tools used across engineering to validate autonomous vehicle safety and performance.
• Set and drive technical direction, including agentic tooling to automate manual simulation workflows and in-house generative models for exploratory vehicle testing.
• Lead high-visibility, cross-functional initiatives to scale generative scenario creation capabilities across the company.
• Own delivery of simulation tooling and services, including 3D scenario authoring and visual editor tools.
• Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and autonomy milestones.
• Recruit, mentor, and develop software and ML engineers, including hiring ML engineers; build team culture and clear growth paths.
• Partner with product, safety, autonomy, and validation stakeholders to prioritize the roadmap and deliver against autonomy milestones.

Requirements

• 7+ years of software engineering experience, with 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 engineering leaders and stakeholders 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.

Nice-to-haves

• Experience managing teams combining traditional software engineering with applied ML or generative AI.
• Familiarity with generative models for simulation or testing, including traffic infilling, scenario creation, and 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.

Compensation

• Salary range: $240,000–$300,000.