Senior AI/ML CI Platform Engineer - Scale DevTools

General Motors

Washington (Washington County)

Hybrid

USD 171,000 - 261,000

Full time

14 days+

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Job summary

General Motors is seeking a Senior Engineer for the CI Platform team to advance our Remote Build Execution (RBE) and in-house FUSE file system. You will enable scalable source-code editing, testing, and delivery workflows for GM AV software development.

You will collaborate across teams to improve developer productivity, mentor engineers, and participate in planning, reviews, and interviewing. Strong cloud service experience and Go/Python skills are valued.

Qualifications

  • 3+ years of experience designing, building and operating production systems at scale in the cloud.

Responsibilities

  • Collaborate with engineers across the company to understand and support their development workflows.
  • Own technical projects from start to finish with major decisions and tradeoffs.
  • Lead complex projects that span teams, with many partners and customers.
  • Effectively participate in planning, code reviews, and design discussions.
  • Contribute impactful projects to the team’s roadmap.
  • Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts.
  • Drive software engineering best practices within our team and across engineering.
  • Mentoring and up-leveling other engineers on the team.
  • Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting.
  • Be a positive contributor to our team culture.

Skills

Go
Python
Unix/Linux
SSH
Networking
Mentoring
Leadership
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
Open Source

Job description

General Motors is seeking a Senior Engineer for the CI Platform team to advance our Remote Build Execution (RBE) and in-house FUSE file system. You will enable scalable source-code editing, testing, and delivery workflows for GM AV software development.

You will collaborate across teams to improve developer productivity, mentor engineers, and participate in planning, reviews, and interviewing. Strong cloud service experience and Go/Python skills are valued.

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