Staff Software Engineer, Metrics Frameworks

GM•Sunnyvale, CA

About The Position

As a Staff Software Engineer on the Metrics Frameworks team within the Simulation, Evaluation, and Data organization, you will provide technical leadership for the infrastructure and frameworks that accelerate autonomous vehicle development, testing, and deployment. You will drive the design, evolution, and scalability of specialized analytics platforms and developer tooling that enable internal teams to build robust quantitative analysis pipelines and define high-quality metrics at scale. In this role, you will influence architecture, raise engineering standards, and lead the delivery of shared systems that support feature design, prioritization, validation, and post-launch performance evaluation. The analytics framework you help shape will power road event monitoring, data mining and training workflows, and simulation-based metrics, directly contributing to GM’s safe, scalable, and high-performing driverless technology.

Requirements

Strong proficiency in C++ and Python in production environments, including software design, unit testing, code review, and performance tradeoff analysis
Proven experience developing scalable software platforms or evaluation frameworks, ideally for autonomous vehicles, robotics, or other complex data-intensive systems
Experience building developer tooling, infrastructure, and automation that support broad internal adoption
BS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field
7+ years of industry experience building production software systems
Strong organizational, collaboration, and communication skills, with the ability to influence across technical teams

Nice To Haves

Familiarity with ROS, Python bindings for C++, and plotting or visualization libraries
Experience building high-performance frameworks or infrastructure and optimizing performance-critical C++ systems
Experience with SQL and related technologies such as BigQuery, DuckDB, or similar analytics tools
Experience with time-series data analysis and online performance monitoring systems
Familiarity with data orchestration and transformation tools such as Airflow, DBT.
Experience operating as a technical leader across multiple teams or domains, especially in fast-moving product or platform environments

Responsibilities

Lead the technical vision, architecture, and roadmap for tooling that aggregates signals across simulation, road, and other data sources, enabling users to build scalable quantitative analysis pipelines and extract actionable insights with minimal friction
Design and deliver high-impact automation tools that improve team productivity across test creation, data collection, analysis, debugging, and performance monitoring
Build extensible, well-tested shared libraries and platform capabilities that are broadly adopted across the organization
Partner with frameworks, infrastructure, and data platform teams to deliver integrated solutions that improve developer productivity and system reliability
Work closely with autonomous vehicle engineering teams to shorten iteration cycles and accelerate model development, validation, and feedback loops
Set and uphold a high technical bar for the team through strong architectural judgment, rigorous code reviews, and engineering best practices
Identify scaling bottlenecks proactively and drive solutions that improve platform performance, operational excellence, and long-term maintainability
Mentor engineers and influence technical direction across teams through leadership, collaboration, and deep technical expertise