Staff Software Engineer, AI for Developer Productivity

Job Description

We are seeking a highly skilled Staff Software Engineer to join the Virtualization & Embedded Software Development Tools organization.

In this role you will apply artificial intelligence to improve developer productivity modernize engineering workflows and advance toolchain capabilities across embedded software development. You will shape and deliver practical production-grade AI capabilities that help engineers build test analyze troubleshoot and support complex software systems more effectively at scale.

This role is ideal for a recognized technical expert who thrives in ambiguity works independently with broad latitude influences key technical decisions and leads large cross-functional efforts with broad visibility. You will partner across CI/CD virtualization systems engineering calibration platform and software development teams to identify high-value opportunities and turn them into scalable solutions that improve engineering throughput reliability and user experience.

Our organization supports the end-to-end engineering toolchain that enables teams to define develop validate calibrate and release embedded software and systems. That includes engineering tools build and test workflows dashboards automation integrations and engineering support platforms. As part of this team you will help define how AI can be used responsibly and effectively in real engineering environments to improve speed quality and user experience.

What youll do

• Define the technical vision for AI-powered developer productivity capabilities across engineering tools and workflows
• Design develop and deliver AI-powered solutions that reduce manual effort accelerate issue resolution and improve software quality across development debugging test analysis issue triage documentation and engineering support workflows
• Partner with cross-functional teams to identify high-value AI use cases and translate them into scalable products platforms and reusable capabilities
• Integrate AI-powered capabilities into engineering tools workflows and automation platforms in ways that improve reliability usability and adoption
• Lead architecture and implementation decisions for AI systems spanning model access orchestration retrieval evaluation observability security and enterprise integration
• Drive productionization of AI capabilities within GM engineering environments including cloud-hosted services internal platforms CI/CD systems and developer tools
• Establish technical standards and best practices for responsible use of AI in engineering tools including quality traceability maintainability and cybersecurity considerations
• Serve as a subject matter expert and technical leader across organizational boundaries influencing roadmaps solution direction and implementation priorities
• Mentor engineers on AI system design prompt and workflow design evaluation strategies and toolchain integration without formal people-leader responsibility
• Present strategy progress recommendations and demonstrations to technical leaders and partner organizations
  

Additional job description

Your skills and abilities (required qualifications)

• Bachelors degree in Computer Science Software Engineering Electrical Engineering Computer Engineering or a related technical field
• 10 years of experience in software engineering developer tooling platform engineering machine learning engineering applied AI or a closely related field
• Strong expertise building and shipping production software systems with proficiency in Python and at least one additional language used in engineering tooling environments
• Demonstrated expertise applying AI and LLM-based approaches to engineering problems such as code analysis workflow automation knowledge retrieval summarization troubleshooting or developer productivity support
• Strong understanding of software engineering fundamentals system design APIs data flows observability and production operations
• Experience integrating AI-powered capabilities into enterprise platforms engineering tools or CI/CD systems
• Experience with cloud services containerization and orchestration technologies
• Strong knowledge of secure engineering practices and responsible AI guardrails
• Demonstrated success leading technically ambiguous cross-functional efforts from concept through production deployment
• Excellent communication skills and the ability to influence technical direction across teams without formal authority
• Experience with developer platforms build systems testing systems or internal engineering tools
• Experience balancing fast experimentation with production reliability maintainability and compliance
  

What can give you a competitive edge (preferred qualifications)

• Masters degree or PhD in Computer Science Software Engineering Machine Learning AI or a related field
• Experience in embedded software development automotive software systems engineering or safety-related toolchains
• Experience with CI/CD platforms build and test orchestration and software quality automation
• Familiarity with GM engineering tools engineering workflows or internal platform environments
• Experience building AI assistants coding agents or domain-specific AI capabilities for engineers
• Experience with knowledge systems vector search ranking workflow orchestration or code intelligence platforms
• Experience supporting large engineering communities through reusable tools templates and automation
• Experience evaluating AI quality in production systems using measurable outcomes such as acceptance rate time saved precision and recall hallucination reduction or workflow completion rate
• Experience designing retrieval-augmented or tool-using AI workflows
• Experience integrating AI into GitHub-based engineering workflows or related enterprise automation pipelines
  

Why join us

This is an opportunity to shape how AI is applied in real-world engineering environments at scale. You will work on high-value problems at the intersection of developer productivity toolchain modernization automation CI/CD observability and embedded software development. Your work will help engineering teams move faster reduce friction improve quality and unlock new capabilities across a critical part of GMs software development ecosystem.

You will join a team that is actively modernizing and scaling core engineering toolchains including CI/CD robustness workflow automation dashboarding and observability configuration and calibration workflows and platform evolution. This role offers the opportunity to turn promising AI concepts into reliable enterprise-ready capabilities that deliver measurable value.

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position as well as geography of the selected candidate.
The salary range for this role is ($160200 - 246300). 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:
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.

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About GM

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Benefits Overview

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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.

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