General Motors Logo

General Motors

Staff Software Engineer - Simulation Platform (Galileo)

Posted 15 Days Ago
Be an Early Applicant
Hybrid
Sunnyvale, CA
185K-284K Annually
Senior level
Hybrid
Sunnyvale, CA
185K-284K Annually
Senior level
Lead the technical vision, architecture, and roadmap for Galileo, a large-scale simulation platform supporting autonomous-driving development. Design distributed systems for simulation orchestration, test management, result analysis, data processing, visualization, and developer tooling. Drive cross-functional initiatives, improve performance and reliability, establish operational excellence, mentor engineers, and influence architecture across teams. The role requires building scalable production platforms and translating customer needs into effective technical strategies.
The summary above was generated by AI
Description
About the Organization
The Simulation, Evaluation, and Data organization develops the platforms, tools, metrics, and workflows that accelerate GM's autonomous-driving mission. The VTA team builds the core infrastructure for test organization, test triggering, simulation execution, result analysis, and the data pipelines that connect these workflows.
Our customers include autonomy and robotics engineers who need fast, trustworthy feedback on vehicle behavior; data engineers who build large-scale analysis workflows; and release teams that use evaluation results and performance metrics to make readiness decisions. We partner across Autonomy, Simulation, Systems Engineering, Safety, Data, and other engineering organizations to deliver intuitive, reliable, and scalable developer experiences.
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.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Similar Jobs at General Motors

19 Hours Ago
Hybrid
171K-261K Annually
Senior level
171K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Own numerical analysis and model parity for compressed, quantized, and optimized autonomous-vehicle models. Develop Jacobian/Hessian sensitivity tools, connect numerical differences to driving behavior, diagnose training instabilities, and build low-overhead observability for distributed training. Investigate floating-point errors, edge cases, and implementation divergence while translating analytical results into deployment decisions and production-ready tooling.
Top Skills: 3D ParallelismCompiler ToolchainsDdpDeepspeedFsdpMegatron-LmPythonPyTorchQuantizationWsd
19 Hours Ago
Remote or Hybrid
United States
70K-107K Annually
Mid level
70K-107K Annually
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provides on-site automotive technical support to GM dealerships across the Albany territory. Diagnoses and directs vehicle repairs, resolves escalated technical and customer issues, supports warranty and repurchase reduction, evaluates dealership service readiness, trains dealer personnel, reviews comeback processes, and communicates product concerns to GM engineering and quality teams. The role also supports arbitration and legal cases, manages dispatch cases, develops dealer relationships, and assists with technician recruitment and retention.
Top Skills: Lan/WanExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordPicoscope
19 Hours Ago
Hybrid
160K-333K Annually
Expert/Leader
160K-333K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and operate GM’s internal cloud platform, including self-service infrastructure, APIs, CLI and MCP tools, Kubernetes runtime capabilities, multi-region reliability, and automated delivery workflows. Define technical direction, eliminate developer toil, establish golden paths, improve SLOs and observability, partner with SRE on incidents, mentor engineers, and collaborate with application teams to improve developer experience.
Top Skills: ArgocdAzureAzure Event HubsCrossplaneGateway ApiGoIstioKafkaKargoKarpenterKedaKubernetesKubernetes OperatorsKyvernoMcpTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account