Staff Software Engineer, Metrics Frameworks

Role: 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.

About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing autonomous vehicle development through cutting-edge simulation and evaluation technologies. Within this organization, the Metrics Frameworks team is responsible for building, maintaining , and evolving the analytics foundation that supports GM’s autonomous driving goals.

The team delivers robust, scalable, and high-leverage tools that enable data-driven decision-making across the AV feature development lifecycle. We partner closely with Simulation Evaluation, Embodied AI, and Systems and Test Engineering to improve engineering velocity and effectiveness through automation, shared libraries, and common infrastructure.

We are accountable for the performance, reliability, and scalability OKRs of the analytics framework, including the development of customized analytics workflows, operational telemetry, and KPI dashboards that inform prioritization and execution.

• 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

• 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

• 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

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

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Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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