Staff AI/ML Engineer, Developer Productivity

About the role

The AI Cloud and Developer Productivity organization at GM is dedicated to delivering and maintaining tools and services that enhance the development process for engineers, ensuring they have world-class tools and a seamless workflow to focus on critical issues in their domain.

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 Proof of Concepts (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

Requirements

• 5+ years of experience designing, building and operating production systems at scale in the cloud
• Bachelor's 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

Qualifications

• 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

Benefits

• 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 $180,000 to $284,000. 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.