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Staff Software Engineer - Simulation Platform (Galileo)

  • 위치
    • Sunnyvale, California
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202621707

설명

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.  

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.