Senior Software Systems Engineer – Autonomous Systems Validation

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $153.2k - $234.1k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Develop scalable frameworks and methods 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, defensible criteria • Analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and gaps in evidence • Translate validation claims and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria • Improve the throughput, repeatability, and quality of validation workflows • Partner with simulation, safety, autonomy, and release teams • Communicate conclusions, assumptions, limitations, and recommendations clearly • Produce validation evidence supporting decisions about risk, readiness, and release

🎯 Requirements

• Strong programming skills in Python, C++, or a comparable language • Experience writing clear, testable, maintainable code • Experience applying engineering or quantitative methods to a physical, cyber-physical, or other real-world system • Ability to turn ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria • Ability to investigate complex behavior using incomplete or noisy data • Ability to collaborate across disciplines and explain technical results with appropriate precision and context • Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience • Preferred: experience with autonomous vehicles, robotics, simulation, aerospace, industrial automation, or another safety-relevant engineered system • Preferred: experience with verification and validation, test automation, scenario generation, requirements-based testing, or performance benchmarking • Preferred: experience designing coverage measures, scorecards, confidence metrics, or regression-detection methods • Preferred: experience with simulation-to-real-world correlation, predictive-validity analysis, or comparing results across test environments • Preferred: applied knowledge of probability, statistics, experimental design, or data analysis • Preferred: experience with data pipelines, SQL, scientific computing, or large-scale test execution • Preferred: graduate degree or equivalent depth in a related technical field

🏖️ Benefits

• Bonus potential based on company performance, job level, and individual performance • Medical, dental, and vision benefits • Health Savings Account • Flexible Spending Accounts • Retirement savings plan • Sickness and accident benefits • Life insurance • Paid vacation and holidays • Tuition assistance programs • Employee assistance program • GM vehicle discounts • Relocation benefits may be available