General Motors · 4 hours ago
Staff Software Engineer, Autonomy Evaluation
Sunnyvale, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$185K/yr - $284K/yr
7+ years expGeneral Motors is a global leader in advanced driver assistance, and they are seeking a Staff Software Engineer for their Autonomy Evaluation team. This role involves defining strategies for metrics and analyses to evaluate autonomous driving software performance, leading cross-functional efforts, and refining key AV evaluation metrics and KPIs to support development workflows and safety decisions.
Electric VehicleTransportationManufacturingAutomotiveInformation TechnologyInformation Services
No H1B
Responsibilities
Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack
Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions
Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale
Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards
Qualification
Required
7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle
3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data
Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions
PhD, Masters, or Bachelor's degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field
Preferred
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments
Deep 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, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing
Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms
Prior development with computational geometry, linear algebra, PyTorch, and machine learning
Background in modeling agent interaction and owning or designing release gating criteria and processes 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.
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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
2026-02-08
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