{"id":2926865,"url":"https://alion.io/job/general-motors-senior-software-systems-engineer-autonomous-systems-validation-confidence","title":"Senior Software Systems Engineer, Autonomous Systems Validation Confidence","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":74,"ghost_share":0,"stale_share":0.662,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Robotics","role_family":"Robotics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":153200,"max":234100,"currency":"USD","period":"year","gross":null,"usd_annual":234100},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":true},{"name":"Verification & Validation","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-30T05:37:52Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Job Description\nAbout the role\nWe are looking for a Senior Software Systems Engineer to develop the methods, software, and quantitative evidence used to measure confidence in autonomous vehicle validation results.\nThis role sits at the intersection of software engineering, systems engineering, simulation, statistics, and data science. You will help answer questions such as: Do our tests provide sufficient coverage? Are our metrics meaningful? Can simulation results predict real-world performance? How confidently can we detect a regression or support a release decision?\nThis role is a strong fit for someone who has experience with both programming and physical or cyber-physical systems such as autonomous vehicles, robotics, aerospace, industrial systems, or other complex engineered products.\nWhat you’ll do\nDevelop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing, including coverage, sampling, metric quality, statistical significance, and regression detection.\n\nBuild tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.\n\nEvaluate simulation validity and road predictive power using measurable, defensible criteria; analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and gaps in evidence.\n\nTranslate validation claims and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.\n\nImprove the throughput, repeatability, and quality of validation workflows.\n\nPartner with simulation, safety, autonomy, and release teams, and communicate conclusions, assumptions, limitations, and recommendations clearly.\n\nRequired qualifications\nStrong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.\n\nExperience applying engineering or quantitative methods to a physical, cyber-physical, or other real-world system.\n\nAbility to turn ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria, and investigate complex behavior using incomplete or noisy data.\n\nAbility to collaborate across disciplines and explain technical results with appropriate precision and context.\n\nBachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.\n\nPreferred qualifications\nExperience with autonomous vehicles, robotics, simulation, aerospace, industrial automation, or another safety-relevant engineered system.\n\nExperience with verification and validation, test automation, scenario generation, requirements-based testing, or performance benchmarking.\n\nExperience designing coverage measures, scorecards, confidence metrics, or regression-detection methods.\n\nExperience with simulation-to-real-world correlation, predictive-validity analysis, or comparing results across test environments.\n\nApplied knowledge of probability, statistics, experimental design, or data analysis, including hypothesis testing, confidence intervals, power analysis, sampling strategies, or precision and recall.\n\nExperience with data pipelines, SQL, scientific computing, or large-scale test execution.\n\nGraduate degree or equivalent depth in engineering, physics, applied mathematics, statistics, data science, or a related field.\n\nWhat success looks like\nValidation results have clear, quantitative confidence and known limitations.\n\nCoverage, metrics, and sampling are tied to the claims and decisions they support.\n\nRegressions and progressions are detected reliably, simulation performance is evaluated against real-world outcomes, and the evidence supports decisions about risk, readiness, and release.\n\nWho will thrive in this role\nYou are interested in how to know whether a complex system is working, not only in how to implement one component. You enjoy moving between code, data, statistical models, experiments, and system-level questions, and you are comfortable learning the physical and operational context needed to interpret results correctly.\nYou may come from systems engineering, robotics, physics, mechanical or electrical engineering, applied mathematics, statistics, data science, or a related background. The common thread is the ability to program, reason quantitatively about physical systems, and apply both to the validation of a real system.\nCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.\n· The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.\n· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.\n· 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\n\nThis job may be eligible for relocation benefits.\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. 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