Senior Fullstack Engineer

Description
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.
Responsibilities

• 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.

Requires Qualifications

• 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.

Desired Skills (Bonus Points)

• 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 (AV) technology (e.g., perception, planning, controls) or other complex robotics/safety-critical systems.

Compensation:

• 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.

Benefits:

• Benefits: 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.

About GM
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