Principal Software Engineer, Simulation Engine

What you'll do

• Define the long-term technical vision, architecture, and strategic roadmap for simulation and reinforcement learning infrastructure.
• Establish architectural principles for scalable, high-fidelity, and deterministic simulation across the autonomy organization.
• Identify systemic risks and technical opportunities to create prioritized investment and execution plans.
• Lead the resolution of complex technical problems spanning autonomy software, machine learning, and infrastructure.
• Set direction for core simulation abstractions, APIs, scenario modeling, and quality standards.
• Drive the adoption of common platforms and engineering practices to reduce fragmentation and increase velocity.
• Influence investment decisions and organizational alignment through written proposals and architecture reviews.
• Mentor principal, staff, and senior engineers through technical direction and sponsorship of high-impact initiatives.

What we're looking for

• Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent professional experience.
• 12+ years of relevant software engineering experience, including significant ownership of complex, production-quality platforms or systems.
• Expert programming ability in modern C++ and Python, with deep expertise in object-oriented design, software architecture, and systems engineering.
• Demonstrated record of defining technical strategy and delivering transformational, cross-functional initiatives with broad organizational impact.
• Experience serving as an architectural authority across multiple teams, products, or engineering organizations.
• Track record of influencing senior technical and business leaders and aligning organizations around difficult tradeoffs and long-term investments.
• Exceptional written and verbal communication skills, including the ability to make complex technical topics clear to diverse audiences.
• Deep experience building, extending, or operating autonomous vehicle or robotics simulation platforms (preferred).
• Experience with game engines or physics platforms such as Unity, Unreal Engine, or PhysX (preferred).
• Experience designing reinforcement learning environments, training infrastructure, or simulation-based machine learning systems (preferred).