General Motors · 17 hours ago
Senior Software Engineer, Autonomy Evaluation
Sunnyvale, California, United States of America
Full-time
Hybrid
Senior Level
$145K/yr - $221K/yr
5+ years expGeneral Motors is a global leader in advanced driver assistance. The Evaluation team builds and evolves the evaluation ecosystem for GM’s autonomous driving technology, focusing on metrics, automated workflows, and analysis approaches to enable data-driven decisions.
Electric VehicleTransportationManufacturingAutomotiveInformation TechnologyInformation Services
No H1B
Responsibilities
Architect and implement metrics and analyses to introspect autonomous driving software performance at subsystem interfaces across the autonomy stack; work closely with autonomy developers and system engineers
Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains
Develop and apply methods to introspect the operation of ML components in the autonomy stack
Create informative, interactive results and dashboards that provide rapid insight for development and verification, and are routinely used by partner teams
Qualification
Required
5+ years applied experience with robotics or autonomous systems software, from sensors and perception through planning and control of the vehicle
3+ years evaluating dynamic systems using numerical and ML approaches, including time series data, state derivatives, dynamics, and interconnected subsystems
Proficiency developing Python in production team environments
Comfort working with C++ codebases, including reading and instrumenting core algorithms
Demonstrated technical leadership, including driving decisions and influencing architecture
PhD, Master's, or Bachelor's degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field
Preferred
Experience in autonomous driving or other field robotics; visualizing and interpreting the results of simulation and field experiments
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries
Proficiency in C++ and SQL
Experience working with ROS or other IPC / robotics stacks, log pipelines, and large-scale experiment databases
Prior development with computational geometry, linear algebra, PyTorch, and machine learning
Background in modeling agent interaction and experience contributing to release gating for autonomy systems
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.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
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