Senior ML/AI Engineer, Observability

General Motors (GM)

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CAAustin, TXWarren, MI
Salary
$178,420–$230,500 / yr
Employment
Full-time
Posted
119 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $218k
This role $204k
$163k $290k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $187,850–$249,000 — the blue band above. At the midpoint, this role pays about $204k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Senior ML/AI Engineer, Observability

The Senior ML/AI Engineer - Observability joins the AV Developer Productivity Org to enhance the inner loop development experience for autonomous vehicle engineers. This role focuses on building and maintaining robust observability frameworks to improve the performance and reliability of distributed cloud systems and on-vehicle sensors. You will contribute code, perform reviews, and create technical designs to identify high ROI investments and address engineering challenges. Key responsibilities include mentoring engineers, defining technical roadmaps, and partnering with software teams to instrument SLIs and SLOs. Required skills include experience with Go, Unix/Linux, networking fundamentals, and AI engineering principles. Preferred technical proficiencies include GCP, AWS, Azure, Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, and TSDBs. This position solves the business problem of optimizing code production quality through improved observability.

What you'll do

  • Contribute code, perform code reviews, and create technical designs to improve observability systems.
  • Build tools to enable engineers to collect and act on observability signals from cloud systems and vehicle sensors.
  • Identify and address challenges to improve the state of engineering through observability frameworks.
  • Partner with software engineering teams to understand use-cases and guide them in using existing tools.
  • Evaluate new tools and technologies through PoCs to influence the team’s technical roadmap.
  • Drive software engineering best practices and create tooling to encourage these practices across the organization.
  • Mentor and grow the technical skills of engineers on the team and across the organization.
  • Balance the delivery of high-impact features with the management of technical debt.

What we're looking for

  • 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.
  • Experience writing in effective Go or other equivalent languages at production scale.
  • Understanding of Unix/Linux, SSH, and networking fundamentals.
  • Ability to lead, influence, and mentor engineers while managing competing priorities under pressure.
  • Experience with GCP, AWS, or Azure (preferred).
  • Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs, and observability pipelines (preferred).
  • Skilled in defining and instrumenting SLIs and SLOs (preferred).
  • Own or contribute to Open Source projects (preferred).

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