Senior Software Engineering - Protocol Operations & Trust

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About the role

Job Description Vacancy Status: No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count) AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role. Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business] . 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 Wh

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