Lead Software Engineer for Autonomy Evaluation

About The Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a focus on zero crashes, zero emissions, and zero congestion, GM strives to develop cutting-edge technologies that enhance safety, sustainability, and efficiency. The company fosters a culture of innovation, collaboration, and inclusion, aiming to create a safer and more equitable world through advanced automotive solutions. GM's dedication to research and development is exemplified through its investment in autonomous vehicle technology, electric mobility, and intelligent transportation systems. As a pioneer in the industry, GM continuously pushes the boundaries of innovation to deliver exceptional value to its customers and stakeholders.

About The Role

Join our Simulation and Testing organization as a Lead Software Engineer for Autonomy Evaluation. In this strategic role, you will lead the design and implementation of simulation-based validation efforts critical to autonomous vehicle development. Your expertise will drive the development of complex verification and validation strategies, facilitating rapid prototyping and consensus building among cross-functional teams. You will mentor engineers, establish best practices, and develop innovative testing methodologies to ensure the safety and performance of autonomous systems within intricate simulated environments. This position offers an exciting opportunity to shape the future of simulation capabilities, ensuring robust validation methods meet the diverse testing needs of AI developers, systems engineers, and safety professionals. The role emphasizes collaboration, technical excellence, and leadership to accelerate autonomous vehicle deployment while maintaining the highest safety standards.

Qualifications

• Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields.
• Minimum of 8 years of hands-on experience in systems engineering, robotics, or data analysis.
• Proficiency in SQL, Python, and C++ for analyzing large datasets.
• Strong analytical skills with the ability to interpret complex data and derive actionable insights.
• Exceptional communication skills, capable of articulating technical concepts to varied audiences.
• Experience in validating AI models, robotics, or autonomous vehicle systems is preferred.

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• Familiarity with data engineering and ETL tools such as DBT and Airflow.
• Experience in developing data visualizations using tools like Looker or Jupyter notebooks.
• Proven track record in systems engineering for safety-critical products.
• Experience with requirements management tools such as Jama, DNG, or DOORS is a plus.
  
  

Responsibilities

• Design and prototype comparative strategies to benchmark the performance of autonomous systems effectively.
• Create simulation evaluation methods that support informed decision-making during continuous release cycles.
• Establish precise requirements and metrics to validate the safe and comfortable operation of autonomous vehicles.
• Analyze driving behaviors to enhance system performance and guide 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.
• Develop and implement verification and validation strategies within simulated environments.
• Lead efforts to improve simulation fidelity and robustness to meet safety and performance standards.
• Contribute to the development of best practices and standards for autonomous vehicle testing and validation.
• Collaborate with AI developers, systems engineers, and safety teams to ensure comprehensive validation coverage.
• Stay updated on emerging technologies and incorporate innovative testing methods into existing frameworks.
  
  

Benefits

• Competitive salary range from $165,000 to $253,200, commensurate with experience and qualifications.
• Bonus potential based on company performance, individual results, and job level.

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• Comprehensive health and wellness benefits including medical, dental, and vision coverage.
• Health Savings Accounts (HSAs) and flexible spending options.
• Retirement plans and financial wellness programs.
• Opportunities for professional development and continuous learning.
• Flexible remote work options with reporting requirements for candidates near designated locations.
• Relocation assistance may be available to support candidates moving for the role.
• Inclusive and diverse work environment fostering innovation and collaboration.
  
  

Equal Opportunity

General Motors is committed to creating a workplace free of unlawful discrimination and fostering an inclusive environment where all employees feel valued and respected. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected status as defined by federal, state, or local laws. GM is dedicated to accommodating individuals with disabilities and encourages applicants to request assistance during the application process. We believe that diverse perspectives and backgrounds drive innovation and are essential to our success. Join us in leading change to build a safer, more equitable, and technologically advanced world for everyone.