Staff AI/ML Engineer, Developer Productivity

General Motors is a leader in automotive innovation, focusing on a vision of Zero Crashes, Zero Emissions and Zero Congestion. They are seeking a Staff AI/ML Engineer to enhance developer productivity by delivering tools and services that improve the engineering process. This role involves mentoring engineers, proposing scalable solutions, and influencing the technical roadmap to boost productivity and maintain high standards within the team.

Responsibilities:

• Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
• Influence the team’s technical roadmap
• Evaluate new tools and technologies through PoCs
• Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
• Drive software engineering best practices within your team, and create tooling which encourages these
• Help steer the engineering culture on the team
• Guide the team to find the right balance between delivering impact and addressing technical debt
• Mentor and grow engineers on the team
• Set the example for high levels of accountability
• Execute and deliver impact both individually and through the team
• Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision

Requirements:

• 5+ years of experience designing, building and operating production systems at scale in the cloud
• Bachelors Degree in Computer Science or related field or equivalent work experience
• Experience designing highly scalable, reliable, and maintainable services
• Experience writing in Go, Python, or other languages at production scale
• Understanding of Unix/Linux, SSH, and networking fundamentals
• Attention to detail, and a desire to improve processes and systems around you
• Ability to lead and influence others, both internal and external to the team
• Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
• Ability to effectively make trade-offs and communicate the reasoning
• Ability to manage competing priorities, focus on shipping, and work effectively under pressure
• Passion for mentoring and growing junior engineers
• Passion for self-driving technology and its potential impact on the world
• Demonstrated application of LLMs, skills, and MCPs to coding & review workflows
• Experience working with GCP
• Experience working with Docker and Kubernetes
• Experience owning or contributing to Open-Source projects