General Motors · 3 hours ago
Staff Software Engineer (C++) – Autonomy Evaluation Platform
Mountain View, CA
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expGeneral Motors is pursuing a world with Zero Crashes, Zero Emissions and Zero Congestion. As a Staff Software Engineer, you will shape the design and delivery of the evaluation strategy for GM’s autonomous vehicle programs, directing software validation, implementing data mining strategies, and building metrics to measure autonomy performance.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Act as technical architect, defining technical vision and strategy and aligning the team with broader company objectives
Design and implement scalable, reliable data pipelines and indexing/aggregation services to support model training and evaluation at scale, with strong guarantees for data quality, lineage, and reproducibility
Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate
Define and operationalize metrics and acceptance gates that quantify autonomy performance in simulation and on-road, integrated into CI/CD to guide release and merge decisions
Build and maintain evaluation dashboards and reports that provide clear, explainable insights to engineering and leadership, including trend analysis, drift detection, and scenario coverage
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team
Collaborate cross-functionally to centralize investments that serve multiple stakeholders, align roadmaps, and reduce duplicated efforts
Qualification
Required
7+ years professional experience developing Python and C++ in production environments, including unit testing, code reviews, performance tradeoffs, and reliability practices
5+ years applied experience in data analysis, ML evaluation, or autonomy analytics, working with large-scale datasets and statistical methods, leveraging tools like SQL
Demonstrated technical leadership delivering measurable impact across teams, including setting standards and influencing architecture
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders
Bachelor's or higher degree in Computer Science, Data Science, Mechanical or Aerospace Engineering, or equivalent practical experience
Preferred
Experience with computational geometry, linear algebra, PyTorch, and machine learning for perception, prediction, or planning
Applied data analysis in robotics or electro-mechanical systems, including sensor data (camera, lidar, radar) and time-series analysis
Expertise in profiling, analysis, debugging, and performance optimization across Python/C++ and distributed workloads
Familiarity with ROS, Pandas, NumPy, SciPy, Python bindings for C++, and plotting/visualization libraries
Experience with scenario mining, evaluation metric design, and release gating for autonomy systems
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (599)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2025-12-30
2025-12-29
2025-12-27
Company data provided by crunchbase