General Motors

AI-Centric Release & Automation Software Engineer

General Motors • $153K — $234K *
Sunnyvale, CA 94087In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong proficiency in Python and SQL.
  • Proven experience with CI/CD systems (e.g., GitHub Actions, Jenkins).
  • Hands-on experience developing ELT/ETL pipelines.
  • Experience applying AI and machine learning for engineering solutions.
  • Excellent problem-solving skills in large-scale software systems.
  • Familiarity with simulation or hardware-in-loop testing integration.
  • Bachelor's, Master's, or PhD in a relevant field or equivalent experience.

Responsibilities

  • Lead the design and implementation of automation workflows.
  • Identify AI and machine learning opportunities to enhance productivity.
  • Build AI-driven solutions for test and workflow management.
  • Develop scalable CI/CD integrations for validation activities.
  • Create actionable insights from diverse engineering data.
  • Establish methods for evaluating AI tool effectiveness.
  • Automate repetitive processes to improve engineering throughput.

Benefits

  • Comprehensive health and wellbeing benefit programs.
  • Retirement savings plan with various options.
  • Tuition assistance programs for employee education.
  • Paid vacation and holidays.
  • Employee assistance program for personal support.
  • Discounts on GM vehicles and related products.
Full Job Description
Job Description

The Role

You will be part of a core team that enables safe, reliable, and scalable releases of the Autonomous Vehicle (AV) software stack through intelligent automation, AI-enabled engineering workflows, and data-driven validation. The mission is to accelerate AV software development and release velocity by reducing manual effort, improving test and release visibility, and applying AI to engineering processes.

In this position, you will collaborate closely with Release Engineers, Systems Engineers, DevOps, QA, and AI/ML teams to design and implement automated release validation pipelines, integrate simulation and hardware-in-loop testing, build engineering metrics, and develop AI-enabled solutions for test analysis, failure classification, defect triage, reporting, and workflow orchestration.

You will help establish practical standards for evaluating, governing, and scaling automation and AI solutions while improving release readiness, software quality, and engineering productivity. If you are passionate about applying intelligent automation and systems thinking to accelerate the development of safe, high-quality ML-driven AV software, we want to talk to you.

What You'll Be Doing

  • Lead the design and implementation of automation across software development, testing, release, and operational workflows.


  • Identify opportunities to apply AI, machine learning, and LLM-based tools to improve engineering productivity and decision-making.


  • Build AI-enabled solutions for test analysis, failure classification, defect triage, documentation, reporting, and workflow orchestration.


  • Develop and maintain scalable CI/CD integrations supporting simulation, hardware-in-loop, regression, and release validation activities.


  • Build data pipelines that combine engineering, QA, simulation, test, and release information into actionable insights.


  • Establish practical methods for evaluating the accuracy, usefulness, traceability, and adoption of AI-enabled engineering tools.


  • Automate repetitive manual processes and measure improvements in cycle time, test efficiency, defect prevention, and engineering throughput.


  • Improve visibility into test health, regression trends, flaky tests, failure patterns, and release readiness.


  • Collaborate with engineering, QA, operations, data, and program teams to understand pain points and deliver effective automation solutions.


  • Integrate tools such as Jira, GitHub, dashboards, observability platforms, and cloud services into unified engineering workflows.


  • Help define standards and governance for maintainable, secure, observable, and scalable automation and AI solutions.


  • Communicate technical findings, process improvements, and measurable business impact to engineering and leadership stakeholders.


What You Must Have

  • Strong proficiency in Python and SQL.


  • Proven experience in CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab, or equivalent).


  • Hands-on experience developing ELT/ETL pipelines and integrating data from engineering, QA, simulation, and operational systems.


  • Experience applying AI, machine learning, or LLM-based solutions to improve engineering productivity, test analysis, defect triage, documentation, or decision-making.


  • Ability to evaluate AI-generated outputs for accuracy, consistency, traceability, and usefulness in engineering workflows.


  • Strong analytical, debugging, and problem-solving skills across large-scale software systems.


  • Experience integrating simulation or hardware-in-loop testing into automated pipelines.


  • Track record of cross-functional collaboration across engineering, QA, and operations teams.


  • Ability to learn quickly and operate effectively in a dynamic, high-stakes environment.


  • Excellent communication skills for presenting data-driven insights to engineering and leadership stakeholders.


  • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent experience.


Bonus Points!

  • Experience developing AI agents, copilots, retrieval-augmented generation systems, workflow automation, or intelligent engineering tools.


  • Experience establishing governance, evaluation, monitoring, and security practices for AI-enabled engineering solutions.


  • Knowledge of AV/ADAS software architectures, simulation validation loops, or automated vehicle testing.


  • Experience with release governance, quality gates, or compliance processes for ML, AV, or safety-critical systems.


  • Familiarity with reliability engineering concepts such as MTBF, FMEA, reliability growth analysis, and failure trend analysis.


  • Experience building automation and metrics pipelines in AWS, GCP, Azure, or equivalent cloud environments.


  • Familiarity with data visualization and observability tools such as Grafana, Superset, Power BI, or equivalent.


  • Experience integrating Jira, GitHub Projects, or similar tools into automated release tracking, workflow orchestration, or engineering triage.


  • Experience measuring automation impact through cycle-time reduction, defect prevention, reduced manual effort, improved test efficiency, or increased engineering throughput.


Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
• The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

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.

General Motors Careers

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.

Work You’ll Do

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.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

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.

Internship Programs and Employment Benefits

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.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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