Job Description

What You’ll Do

• Define and evolve the technical vision, architecture, and multi-year roadmap for Galileo and related simulation-platform capabilities.
• Design and implement highly scalable systems capable of orchestrating and analyzing millions of simulation miles and large volumes of test results.
• Lead cross-functional initiatives that integrate simulation, evaluation, data, and developer tooling into regular engineering and release workflows.
• Build platform capabilities for test creation, test-suite management, execution orchestration, result storage, data processing, visualization, and quantitative analysis.
• Establish durable architectural patterns for distributed systems, service interfaces, data-intensive workflows, and cloud-based infrastructure.
• Identify and resolve bottlenecks in performance, reliability, cost, usability, and operational scalability; use measurable outcomes to guide prioritization.
• Drive engineering excellence through design reviews, code reviews, automated testing, continuous integration, observability, incident learning, and clear operational ownership.
• Make complex technical tradeoffs clear to stakeholders, communicate risks and dependencies, and drive decisions across organizational boundaries.
• Mentor engineers and multiply team effectiveness through technical guidance, reusable patterns, documentation, and constructive feedback.
• Partner with product and engineering leaders to translate customer needs into pragmatic technical strategies and deliverables.
• Help define and embody GM engineering culture and principles, with a focus on customer impact, inclusion, continuous improvement, and accountability.

Your Skills & Abilities

• Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of experience building and operating production software systems, platforms, or infrastructure.
• Proven experience providing cross-team technical leadership, including defining strategies or architectures adopted by multiple teams.
• Strong experience designing and implementing distributed systems, service-oriented or microservice architectures, and data-intensive applications.
• Production programming experience in Python and at least one additional language such as Go, C++, Java, TypeScript, or a similar language.
• Experience with cloud platforms and modern software delivery practices, including CI/CD, automated testing, observability, and operational excellence.
• Experience building developer tools, automation, or platform capabilities that improve engineering productivity and achieve broad internal adoption.
• Strong written and verbal communication skills, including the ability to explain technical decisions, communicate risk, and influence diverse stakeholders.
• Demonstrated ability to work independently through ambiguity, prioritize high-leverage work, and deliver results across organizational boundaries.

What Will Give You a Competitive Edge

• Experience with autonomous vehicles, robotics, simulation, validation, evaluation, or other safety-critical or high-stakes systems.
• Experience designing, running, and interpreting large-scale simulation or field experiments.
• Experience with test frameworks, scenario libraries, metrics systems, release gating, or continuous evaluation pipelines.
• Experience with PostgreSQL or similar relational databases and analytical technologies such as BigQuery, DuckDB, or Amazon Redshift.
• Familiarity with data transformation tools such as dbt, Dataform, or SQLMesh.
• Experience with ROS, Python/C++ interoperability, or modern visualization and dashboarding tools such as Streamlit or Looker.
• Experience optimizing systems under significant latency, throughput, reliability, or cost constraints.
• Experience developing safety-critical software or applying rigorous validation and risk-management practices.
• A track record of creating reusable frameworks, libraries, or platform abstractions that enable other teams to move faster.

Why Join Us

You will work on foundational technology that directly affects how GM develops, validates, and scales autonomous-driving systems. The role offers broad technical scope, meaningful cross-functional influence, and the opportunity to build platforms that turn large-scale simulation and evaluation into faster, safer engineering decisions.

Compensation

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.

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. 

Company Vehicle

"Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”  

This job may be eligible for relocation benefits.