General Motors

Senior Software Engineer - Protocol Operations & Trust

General Motors • $153K — $234K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science or related field, or equivalent experience.
  • 5+ years in building and operating production software and backend services.
  • Strong expertise in Python for development and quality coding standards.
  • Proven experience in creating scalable backend systems and microservices.
  • Familiarity with cloud-based systems, including deployment and operational reliability.
  • Experience in designing data pipelines and processing systems for large-scale data.
  • Ability to communicate effectively and resolve technical challenges.

Responsibilities

  • Deliver simulation test suites for autonomous vehicle software validation.
  • Automate and standardize test processes to minimize manual effort.
  • Collaborate with teams to develop tools that meet testing requirements.
  • Maintain high standards of code quality through mentoring and reviews.
  • Utilize AI tools to improve development productivity and code quality.
  • Define paths for ambiguous challenges, moving from prototype to production.
  • Operate with urgency while ensuring high engineering quality.

Benefits

  • Hybrid work with a requirement to report in-office three times a week.
  • Access to advanced AI-assisted development tools and analytics platforms.
Full Job Description
Job Description

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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

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Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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