Note: The job is a remote job and is open to candidates in USA. General Motors is a global leader in advanced driver assistance, seeking a Staff Software Engineer for their Autonomy Evaluation team. This role involves defining metrics and analyses for evaluating autonomous driving software performance and leading cross-functional efforts to integrate evaluation into development workflows.ResponsibilitiesDefine the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stackLead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisionsInvent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scaleOwn 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 dashboardsSkills7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series dataProficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebasesProven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisionsPhD, Masters, or Bachelor's degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related fieldExperience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experimentsDeep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization librariesProficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testingExperience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platformsPrior development with computational geometry, linear algebra, PyTorch, and machine learningBackground in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systemsBenefitsBonus 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.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.This job may be eligible for relocation benefits if you are interested in relocating to the bay area.Company OverviewGeneral Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is H1B SponsorshipGeneral Motors has a track record of offering H1B sponsorships, with 132 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.   Apply To this Job