Senior Software Systems Engineer – Autonomous Vehicles

🕒 September 10

🏄 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.

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design, implement, and maintain robust processes for autonomous-vehicle software evaluation and validation • Own end-to-end execution and improve evaluation methodologies for GM’s end-to-end machine-learning stack • Work with AI/ML engineers, simulation engineers, systems engineers, and data partners to identify, analyze, monitor, and prioritize performance signals • Use simulation and on-road data to build scalable processes for evaluating coverage, metrics, uncertainty, and validation confidence • Define AV evaluation and validation processes, including test-framework requirements, scenario and test-suite design, coverage, metrics, and confidence evidence • Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis • Implement infrastructure and data solutions to assess AV performance confidence using simulation and on-road data • Evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results • Identify metrics, sampling approaches, and analytical methods to improve evaluation workflows and close evidence gaps • Contribute to automated triage and root-cause analysis for AV deficiencies, regressions, and uncertainty • Communicate insights, summaries, limitations, and recommendations to engineers, technical leaders, and stakeholders • Define and maintain scalable processes for identifying, monitoring, and improving evaluation KPIs and confidence measures • Connect continuous-improvement activities to evidence supporting safety, systems, and downstream readiness decisions

🎯 Requirements

• Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools • Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems • Experience with GitHub, Jira, or equivalent tools • Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome • Analytical and systems-engineering experience involving complex software/hardware systems or ambiguous AI functions • Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data • Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment • Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership • Bachelor’s, master’s, or doctoral degree in engineering, physics, applied mathematics, statistics, data science, or a related discipline, or an equivalent combination of education and experience • Bonus: experience with autonomous vehicles, ADAS, robotics, or production-grade robotic systems • Bonus: hands-on experience with simulation environments, scenario generation, large-scale test execution, or analysis of simulation results • Bonus: experience with statistical methods for product evaluation, risk assessment, sampling, or confidence analysis • Bonus: experience developing data-driven metrics, scorecards, coverage measures, or regression-detection methods • Bonus: experience with verification and validation, simulation-to-real-world correlation, test automation, or large-scale evaluation systems • Bonus: passion for understanding complex robotics and AI systems and turning their behavior into measurable evidence

🏖️ Benefits

• Bonus potential through an incentive pay program based on company, job-level, and individual performance • Medical insurance • Dental insurance • Vision insurance • 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