обновлено 11 дней назад
Senior Software Systems Engineer (Autonomous Systems)
153 200 - 234 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Software Systems Engineer (Autonomous Systems): Developing scalable methods, software, and quantitative evidence for measuring confidence in autonomous vehicle validation across simulation and real-world testing with an accent on coverage, statistical significance, metric quality, and regression detection. Focus on building test-analysis pipelines, evaluating simulation-to-real-world predictive validity, and translating release questions into defensible experiments and decision criteria.
Location: Sunnyvale, California, United States
Salary: $153,200–$234,100 per year, plus bonus potential.
Company
develops automotive products and autonomous vehicle technologies with a focus on safer, more equitable transportation.
What you will do
- Develop scalable frameworks for measuring validation confidence across simulation and real-world testing.
- Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
- Evaluate simulation validity and road predictive power using measurable criteria.
- Analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and evidence gaps.
- Translate validation and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.
- Partner with simulation, safety, autonomy, and release teams to communicate conclusions and recommendations.
Requirements
- Strong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.
- Experience applying engineering or quantitative methods to physical, cyber-physical, or real-world systems.
- Ability to convert ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria.
- Ability to investigate complex behavior using incomplete or noisy data and explain technical results across disciplines.
- Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.
Nice to have
- Experience with autonomous vehicles, robotics, simulation, aerospace, industrial automation, or other safety-relevant engineered systems.
- Experience with verification and validation, test automation, scenario generation, requirements-based testing, or performance benchmarking.
- Knowledge of probability, statistics, experimental design, data analysis, SQL, scientific computing, or large-scale test execution.
- Graduate degree or equivalent depth in a related technical field.
Culture & Benefits
- Health, dental, vision, Health Savings Account, and Flexible Spending Account options.
- Retirement savings plan, life insurance, sickness and accident benefits, and paid vacation and holidays.
- Tuition assistance, employee assistance program, and GM vehicle discounts.
- Relocation benefits are available for candidates who qualify under company policy.
Hiring process
- Role-related assessments and pre-employment screening may be required where applicable.
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