AI-Driven Release Automation Engineer

General Motors; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

General Motors in Sunnyvale, CA is seeking a highly skilled automation and AI-enabled engineering specialist to advance the AV software release pipeline. You will design automated release validation, integrate simulations, and create data-driven metrics to speed development while maintaining safety and quality.

You will collaborate with Release Engineers, Systems Engineers, DevOps, QA, and AI/ML teams to implement pipelines, apply AI to testing and triage, and improve cycle time and release

Qualifications

• Strong proficiency in Python and SQL.
• Experience in CI/CD systems (GitHub Actions, Jenkins, GitLab).
• Hands-on experience with ELT/ETL pipelines and data integration from multiple systems.
• Experience applying AI/ML/LLM solutions to engineering productivity, testing, or decision-making.
• Ability to evaluate AI outputs for accuracy and usefulness.
• Proven analytical, debugging, and problem-solving skills.
• Experience integrating simulation or hardware-in-loop testing into automated pipelines.
• Track record of cross-functional collaboration across engineering, QA, and operations.
• Bachelor's, Master's, or PhD in CS/EE/Robotics or related field (or equivalent).

Responsibilities

• Lead design and implementation of automation across development, testing, release, and operations workflows.
• Identify opportunities to apply AI/ML/LLM tools to improve productivity and decision-making.
• Build AI-enabled solutions for test analysis, failure classification, defect triage, documentation, reporting, and orchestration.
• Develop and maintain scalable CI/CD integrations supporting simulation, hardware-in-loop, regression, and release validation.
• Create data pipelines combining engineering, QA, simulation, test, and release data into insights.
• Establish methods to evaluate the accuracy and adoption of AI-enabled tools.
• Automate repetitive processes and measure improvements in cycle time, test efficiency, and defect prevention.
• Improve visibility into test health, regression trends, flaky tests, and release readiness.
• Collaborate with engineering, QA, operations, data, and program teams to deliver automation solutions.
• Integrate Jira, GitHub, dashboards, observability platforms, and cloud services into workflows.
• Define governance for scalable, secure, observable automation and AI solutions.
• Communicate findings and measurable business impact to engineering and leadership stakeholders.

Skills

Python

SQL

Analytical thinking

Communication skills

Problem solving

Cross-functional collaboration

Learning quickly

Education

Bachelor's/Master's/PhD in CS, EE, Robotics, or related field

Tools

GitHub Actions

Jenkins

GitLab

Job description

General Motors in Sunnyvale, CA is seeking a highly skilled automation and AI-enabled engineering specialist to advance the AV software release pipeline. You will design automated release validation, integrate simulations, and create data-driven metrics to speed development while maintaining safety and quality.

You will collaborate with Release Engineers, Systems Engineers, DevOps, QA, and AI/ML teams to implement pipelines, apply AI to testing and triage, and improve cycle time and release