Senior Software Engineer - Protocol Operations & Trust

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
153K-234K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Build and operate production software, backend services, data pipelines, infrastructure, and workflow automation for autonomous vehicle simulation testing. Automate test creation, execution, validation, monitoring, and maintenance while integrating evaluation systems and partner tools. Lead technical design, code reviews, architecture, and cross-functional execution across autonomy, safety, systems, data, and infrastructure teams. Improve reliability, observability, quality, and scalability of simulation testing through cloud-native engineering and analytics.
Summary Generated by Built In
Description
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.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • Bachelor’s, master’s, or doctoral degree 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 documents and drive execution across multiple teams
  • Strong communication skills and ability to turn ambiguous technical problems into practical, maintainable solutions
  • Demonstrated adaptability, ownership, and ability to operate effectively in evolving technical environments
  • 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 human-in-the-loop or automation quality processes, or release-management systems requiring reproducibility and traceability
  • Experience developing data-processing, query, analysis, anomaly detection, or issue-triage systems
  • 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 as code, containerization, or distributed systems

What the Team is Saying

Kendra
Brady
Eseme Owoseni
Emrik
Divya
Navya
Yousuf
Eseme
Charles
Antonino Destasi
Jeremiah Hamlin
Victoria
Matt Zebiak
Sri
Jeremiah
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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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