Senior Fullstack Engineer - Simulation

About the role

GM’s simulation team is looking for an experienced Senior Fullstack Engineer to be a key technical leader in our mission to deliver autonomous driving technologies safely. This is a high-impact role where your work directly enables the validation of our most complex AI-driven systems.

• Technical Vision
  :
  Define the architectural roadmap for our Simulation Scenario Definition platform and/or its programmatic Python SDK.
• Scalable Tooling
  :
  Lead the design and implementation of our next-generation graphical editing tools used by hundreds of engineers to precisely define complex traffic, environment, and sensor scenarios.
• Performance & Infrastructure
  :
  Drive the evolution of our Python infrastructure, focusing on core algorithms for scenario serialization, validation, and integration with our large-scale cloud compute cluster.
• Mentorship
  :
  Act as a hands‑on mentor, setting the engineering excellence standard for API design, code quality, and testing practices across the team.

• 5+ years of professional experience in software development, with a significant portion focused on large-scale platforms, tooling, or SDK development.
• Proven ability to lead technical architecture and drive complex, multi-quarter projects from concept to production.
• Strong experience with front-end engineering for sophisticated graphical applications (e.g., using modern frameworks like React, Vue, or a lower-level library like WebGL/Three.js).
• Expert-level proficiency in Python, including deep knowledge of best practices, performance optimization, and building robust APIs/SDKs for external consumers.
• A track record of mentoring and coaching mid-level and senior engineers, raising the technical bar, and driving code quality standards within a team.

• Experience with C++ for performance-critical components or integration with simulation engines.
• Solid foundation in 3D graphics, computational geometry, and/or real-time simulation concepts.
• Direct experience developing or extending a Domain-Specific Language (DSL) or high-level scripting language.
• Background in game engines (e.g., Unity, Unreal) or other professional simulation software.
• Experience in data visualization techniques for large, complex datasets.
• Familiarity with the architecture of Autonomous Vehicle technology (e.g., perception, planning, controls) or other complex robotics/safety‑critical systems.

The expected base compensation for this role is: $153,200 - $234,100. Actual base compensation within the identified range will vary based on factors relevant to the position. You also need to include general information about potential commissions, if applicable.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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