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Staff Software Engineer, Autonomy Evaluation
Role: As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety.
About the Organization: The Simulation and Testing organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Systems Engineering team within the Simulation and Testing org focuses on unlocking software launch and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
What You'll Do:
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Develop and prototype comparative strategies to benchmark autonomy systems’ performance.
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Create simulation evaluation methods to support decision-making in continuous release cycles.
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Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations.
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Analyze driving behaviors to inform system performance and influence the development of the autonomy stack.
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Mentor team members and facilitate cross-team collaboration to define simulation confidence metrics for new launches.
Your Skills & Abilities:
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Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields.
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10+ years of experience in systems engineering, robotics, or data analysis.
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Proficient in SQL, Python, and C++ for analyzing large data sets.
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Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions.
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Excellent communication skills, capable of switching between high-level and detailed discussions.
What Will Give You A Competitive Edge:
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Experience in validating AI models, robotics, or autonomous vehicle development.
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Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow).
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Experience in developing data visualizations using tools like Looker or Jupyter notebooks.
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Proven success in systems engineering for safety-critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS).
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
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The salary range for this role is $165,000 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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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.
Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
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