Senior ML/AI Engineer: Observability & Cloud Platforms Lead

General Motors

Sunnyvale (CA)

Hybrid

USD 178,420 - 230,500

Full time

14 days+

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Job summary

General Motors in Sunnyvale, CA, is seeking a Senior Engineer to lead observability initiatives, design scalable cloud services, and mentor engineers. You will contribute code, perform reviews, and influence the technical roadmap while balancing delivery with technical debt.

A passion for self‑driving technology and strong Go production‑scale skills are essential. You will collaborate with cross‑functional teams to improve reliability, implement SLIs/SLOs, and ensure maintainable services across

Qualifications

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.
Understanding of AI Engineering principles and concepts.
Experience designing highly scalable, reliable, and maintainable services.
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.
Principled reasoning and the ability to research, document, communicate, and defend proposals, and provide and take critical feedback.
Ability to manage competing priorities, focus on shipping, and work effectively under pressure.
Passion for mentoring and growing junior engineers.
Passion for leveling up the overall efficiency and effectiveness of the team.
Passion for self‑driving technology and its potential impact on the world.

Responsibilities

Contribute code and reviews to improve performance and reliability of observability systems.
Identify opportunities to improve engineering through observability.
Guide engineers to use existing tools effectively.
Build tools to collect and act on observability signals from cloud systems and sensors.
Evaluate new tools and influence the technical roadmap with PoCs.
Promote engineering best practices across the team and organization.
Balance delivering impact with addressing technical debt.
Mentor and grow engineers across the organization.