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Software Developer - Simulation Platform (Galileo)

  • 위치
    • Sunnyvale, California
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202611524

설명

The Role

As a Software Engineer on the Galileo team, you will design, build, and scale the infrastructure and technology that powers testing and evaluation workflows for vehicle release and autonomous driving stack validation and verification. This includes developing and optimizing data processing pipelines, backend services, and internal tools used for large-scale analysis. In this role, you will independently own significant technical areas, drive high-quality implementation from design through production, and partner with cross-functional teams to build systems that support AV / ADAS development. You will help raise the engineering bar through sound technical judgment, strong execution, and mentorship of other engineers.

About the Organization

The GM AV Simulation team builds world-class testing and analysis products and technologies to help accelerate development of autonomous vehicles and broader vehicle software systems. Our customers range from AV developers understanding the effects of their code on vehicle behavior, to data engineers using our pipelines for evaluation insights, to release teams tracking top-line performance metrics. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that help move GM toward a driverless future. Galileo is building the core infrastructure and architecture to support testing at scale. As part of this team, you will help build and evolve the infrastructure required for test organization, test triggering, test analysis workflows, and related data pipelines.

What You’ll Do

  • Design, develop, and maintain software systems that support large-scale autonomous driving evaluation workflows

  • Own major components and services that enable simulation, test execution, analysis, and reporting at scale

  • Build and improve infrastructure used to process and analyze large volumes of driving and evaluation data

  • Drive reliable software delivery through strong engineering practices including code reviews, automated testing, observability, and continuous integration

  • Collaborate across teams to define technical requirements, resolve ambiguous problems, and deliver scalable solutions

  • Debug complex production issues, improve system performance, and strengthen operational excellence for critical infrastructure

  • Mentor other engineers and contribute to a collaborative, inclusive, and high-performing engineering culture

  • Support GM engineering culture through ownership, technical excellence, teamwork, and continuous improvement

Your Skills & Abilities

  • BS, MS in Computer Science, Robotics, Software Engineering, or a related field, or equivalent practical experience

  • Demonstrated experience building and operating high-quality production software systems

  • Strong proficiency in one or more programming languages such as Python, Go, JavaScript, or C++

  • Experience designing and building backend systems, APIs, data pipelines, or distributed systems

  • Solid understanding of software engineering fundamentals including testing, debugging, version control, code reviews, and system design

  • Experience working with cloud platforms such as AWS or GCP

  • Familiarity with relational databases such as PostgreSQL and analytics or warehouse technologies such as BigQuery or Redshift

  • Strong problem-solving, communication, and cross-functional collaboration skills

  • Ability to operate with ownership in a fast-paced engineering environment and drive work through ambiguity

  • Passion for autonomous driving technology and its potential impact on the world

What Will Give You a Competitive Edge

  • Experience in robotics, AV / ADAS, simulation, or developer infrastructure

  • Experience building internal platforms, developer tools, or workflow orchestration systems

  • Experience supporting data scientists or ML / AI engineers through data pipelines and analysis workflows

  • Familiarity with web technologies such as Node or React

  • Experience improving reliability, latency, and performance in production systems

  • Experience developing software for high-scale or safety-critical environments

  • Interest in scientific analysis, large-scale evaluation, or data-driven engineering workflows

Compensation

  • The salary range for this role is $104,500 and $160,200. 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. 

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. 

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.