[Remote] Engineering Manager - Autonomy Evaluation

Note: The job is a remote job and is open to candidates in USA. General Motors is a global leader in advanced driver assistance. They are seeking an Engineering Manager to lead a team in building software, metrics, and analysis systems for evaluating autonomous driving performance at scale.ResponsibilitiesLead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testingSet technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stackDrive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runsGuide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domainsOversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teamsEnsure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insightPartner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needsHelp the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop reviewMaintain a high technical bar through strong system design, code review, testing, observability, and engineering best practicesTranslate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomesBuild a high-performing, inclusive engineering team through hiring, coaching, feedback, and career developmentCreate clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domainBalance near-term delivery with long-term platform investments in metrics, tooling, and infrastructureRaise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanismsRepresent the team effectively across partner organizations and influence decisions that affect system-level AV qualitySkills8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems. This manager version is adapted from a senior IC profile that calls for 5+ years in these domains3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystemsStrong proficiency developing Python in production team environments, including testing, performance, and code reviewStrong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reportingComfort working with C++ codebases, including reading, debugging, and instrumenting core algorithmsDemonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-endStrong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plansStrong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepanciesBachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experienceExperience in autonomous driving or field robotics, including interpreting results from simulation and field experimentsExperience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysisStrong intuition for data visualization and the ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiencesFamiliarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluationProficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoringExperience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platformsPrior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or controlBackground contributing to release gating, risk assessment, and safety-related decisions for autonomy systemsExperience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverageBenefitsBonus Potential: An incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.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 https://www.gm.com.Company 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.