Senior Software Engineer, Autonomy Evaluation

Description

General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.

What You'll Do

• 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.

• 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.

• 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.

• The salary range for this role is $144,700 and $221,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• 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.