Senior Software Engineer, Autonomy Evaluation

🕒 August 31

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 30%

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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

• Architect and implement metrics and analyses to introspect autonomous driving software performance across the autonomy stack • Partner with autonomy developers and systems engineers • Design and implement algorithms that summarize, aggregate, and cluster metrics from simulations and on-road autonomy runs • Propose and develop statistical and ML methods to quantify performance and identify system and subsystem behavior patterns • Introspect ML components in the autonomy stack, including perception, prediction, and planning models • Build and maintain autonomy evaluation dashboards and interactive reports for trend analysis, drift detection, and scenario coverage • Leverage vision-language models and large language models to classify autonomy performance, identify critical scenarios, and prioritize validation efforts • Integrate human-in-the-loop review where needed • Maintain high technical standards through system design, code reviews, testing, observability, and software-engineering best practices • Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share evaluation, metrics, and experiment-design best practices

🎯 Requirements

• 5+ years of applied experience with robotics or autonomous systems software, data analysis, ML evaluation, or autonomy analytics • 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems • Strong proficiency developing Python in production team environments, including testing, performance, and code review • Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting • Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms • Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience • Experience in autonomous driving or field robotics • Experience evaluating robotics or AV systems using sensor data such as camera, lidar, or radar • Familiarity with statistical modeling, experimental design, and hypothesis testing • Proficiency in C++ and SQL • Experience with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms • Experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control • Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems • Experience leveraging AI-assisted development and analytics tools

🏖️ Benefits

• Benefits information provided through GM Total Rewards resources • General Motors offers reasonable accommodations for individuals with disabilities • Inclusive, non-discriminatory workplace • Role-related assessment and/or pre-employment screening information provided