설명
The Company:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 750,000 Super Cruise-equipped vehicles on the road and over 1 billion hands-free miles driven, GM is demonstrating how automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful autonomous vehicle experiences.
The Team:
Protocol Operations & Trust (POT) is part of Scaled Engineering Operations (SEO) within GM’s AV Simulation organization. We build and operate workflows, automation, tooling, and data products that make simulation testing scalable, reliable, and trusted.
We own the simulation-protocol lifecycle: from definition and tier correlation through test creation, quality validation, monitoring, maintenance, and release safeguards. By working across simulation, evaluation, validation, autonomy development, data, and infrastructure teams, we turn complex testing workflows into clear, reproducible, decision-ready products that help engineering teams develop and validate autonomous vehicles with greater speed and confidence.
The Role:
We are looking for a hands-on Software Engineer to turn complex simulation-testing challenges into production-ready software. Working closely with operations and engineering teams, you will build across backend services, data pipelines, production infrastructure, and evaluation feedback loops to move our testing from manual to automated. That means automating the workflows people run by hand today, replacing hand-collected metrics with a pipeline that collects, analyzes, and acts on them, and connecting each team's standalone tools into a single streaming system that makes test creation and maintenance scale. The result is faster test creation and higher-quality test protocols that every downstream team can build with confidence.
What You’ll Do:
- Own the delivery of the simulation test suites that validate autonomous vehicle software, building on partner teams' test creation tools to produce and maintain tests in bulk, and building the orchestration and pipelines that connect those systems into an end-to-end workflow from incoming requests to running tests.
- Automate and standardize test creation and maintenance, so coverage grows without growing manual effort and integrate partner teams' evaluation systems as inputs that drive how tests are built, triaged, and retired.
- Partner with Autonomy, Systems, Safety, and customer teams to turn their testing needs into the tooling, interfaces, and automation that can deliver them seamlessly.
- Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices.
- Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.
- Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production
- Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality
Your Skills and Abilities:
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience designing, building, and operating production software, backend services, data platforms, or infrastructure systems.
- Strong Python development skills, including production-quality coding, unit testing, code review, debugging, and reliability practices.
- Experience building scalable backend systems, APIs, microservices, workflow orchestration, or internal engineering platforms.
- Experience with cloud-based production systems, including deployment, observability, performance, and operational reliability.
- Experience designing or operating data pipelines and data-processing systems using SQL, NoSQL and other tools for large-scale operational, telemetry, or time-series data.
- Experience building automated tests, validation, quality checks, CI/CD, or release workflows.
- Ability to lead high-level technical design doc and drive execution across multiple teams.
- Strong communication skills and the ability to turn ambiguous technical problems into practical, maintainable solutions.
- Demonstrated adaptability, ownership, and ability to operate effectively in evolving technical environments.
What Will Give You a Competitive Edge:
- Experience with autonomous vehicles, robotics, simulation, evaluation systems, or other complex software platforms.
- Experience building automated test-generation, test-execution, or workflow-orchestration systems.
- Experience with defining human-in-the-loop/automation quality processes or release-management systems where reproducibility and traceability are critical.
- Experience developing data-processing, query, analysis, anomaly detection, or issue-triage systems that help identify and prioritize system problems.
- Experience with observability, time-series analysis, performance monitoring, dashboards, or operational analytics.
- Experience working on safety-critical, mission-critical, or highly reliable products.
- Familiarity with simulation validation, test-quality metrics, human-in-the-loop evaluation, or feedback-driven quality improvement.
- Experience with cloud-native deployment, infrastructure, code, containerization, or distributed systems.
- Demonstrated ability to adapt quickly in evolving technical environments and take ownership of ambiguous problem spaces.
Location:
- This role is categorized as hybrid. This means the successful candidate is expected to report to Sunnyvale OR Bellevue three times per week, at minimum.
Compensation:
- The salary range for this role is $153,200 and $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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.