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General Motors
General Motors
H1B Visa SponsorAutomotiveManufacturingTransport
General Motors is a global automotive and manufacturing company working across vehicle engineering, production, transportation, and information technology. Founded in 1908, GM develops technologies aimed at advancing mobility while pursuing its vision of zero crashes, zero emissions, and zero congestion. Its international operations bring together large, multidisciplinary teams focused on innovation, sustainable transportation, and the future of the automotive industry.
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Senior Software Engineer, Protocol Operations and Trust

Senior Software Engineer developing simulation testing infrastructure for General Motors’ autonomous-vehicle systems. Build backend services, data pipelines, and orchestration tools that support scalable, reliable validation.

USUnited StatesWAWashington
$153,200 – $234,100 / year
HybridFull-timeSeniorEnglish RequiredBlockchain Engineer
CloudDistributed SystemsMicroservicesNoSQLPythonSQL

Description

  • Lead delivery of simulation test suites for autonomous-vehicle software
  • Create and maintain tests at scale with partner teams’ test-generation tools
  • Develop orchestration services and pipelines that connect incoming requests with test execution
  • Automate and standardize test creation and ongoing maintenance
  • Integrate partner evaluation systems to support test development, triage, and retirement
  • Collaborate with Autonomy, Systems, Safety, and customer teams to convert testing needs into tools, interfaces, and automation
  • Maintain software quality and architectural standards through code reviews and technical leadership
  • Coach engineers in software development and simulation-testing practices
  • Use AI-assisted development tools and analytics platforms to improve engineering workflows
  • Take ownership of unclear problem areas and advance prototypes into production systems
  • Work with urgency while preserving strong engineering standards

Requirements

  • Bachelor’s, master’s, or doctoral degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
  • At least five years designing, developing, and operating production software, backend services, data platforms, or infrastructure systems
  • Advanced Python skills covering production code, unit testing, code review, debugging, and reliability practices
  • Background building scalable backend services, APIs, microservices, workflow orchestration, or internal engineering platforms
  • Experience operating cloud-based production systems, including deployment, observability, performance, and reliability
  • Experience designing or running data pipelines and processing systems with SQL, NoSQL, and related technologies for large-scale operational, telemetry, or time-series data
  • Experience developing automated tests, validation checks, quality controls, CI/CD pipelines, or release workflows
  • Ability to author high-level technical designs and lead execution across multiple teams
  • Clear communicator who can turn ambiguous technical challenges into practical, maintainable solutions
  • Demonstrated ownership, adaptability, and effectiveness in changing technical environments
  • Experience with autonomous vehicles, robotics, simulation, evaluation systems, or other complex software platforms
  • Experience creating automated test-generation, test-execution, or workflow-orchestration systems
  • Experience defining human-in-the-loop or automated quality processes and release-management systems requiring reproducibility and traceability
  • Experience developing systems for data processing, querying, analysis, anomaly detection, or issue triage
  • Experience with observability, time-series analysis, performance monitoring, dashboards, or operational analytics
  • Experience developing 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 as code, containerization, or distributed systems

Benefits

  • Access to Total Rewards resources
  • An inclusive workplace culture
  • Reasonable accommodations for applicants with disabilities
  • Information and support for role-related assessments and pre-employment screening

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