Staff Software Engineer - GPU Fleet & Cloud Infra

Cloudjobs

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

4 days ago
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Benefits offered by this job

Restricted Stock Units
Health insurance
Vision insurance
Dental insurance
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance
Short-term disability
Long-term disability
Teladoc
401(k) with 100% match up to 4% of sal
Paid time off
Holiday schedule
Cell phone reimbursement
Tuition reimbursement
Calm app subscription
MetLife Legal
Company paid commuter benefit

Job summary

Cloudjobs seeks a software engineer to design and build systems for managing a fleet of GPU servers and data center infrastructure. You will drive observability, automation, and tooling for fault remediation, validation, and facilities management of power and liquid cooling systems.

Candidates should have strong distributed systems experience and expertise with cloud platforms like GCP and Kubernetes, with proficiency in Go, Python, Java, or Rust, and the ability to set technical direction for

Qualifications

  • Requires professional software engineering experience with expertise in distributed systems.
  • Experience with cloud platforms like GCP and Kubernetes; proficient in Go, Python, Java, or Rust.
  • Ability to independently develop scalable solutions and set technical direction for complex projects.

Responsibilities

  • Develop software for managing a fleet of GPU servers and data center infrastructure.
  • Create tooling for hardware fault remediation, post-repair validation, and facilities management for power and liquid cooling systems.

Skills

Distributed Systems
Kubernetes
Infrastructure as Code
GCP
Go
Python
Java
Rust
GPU Fleet Management
Hardware Diagnostics
Observability Tooling
Automation
Reliability Engineering
Cloud Platforms
Analytical Problem Solving
Collaboration

Tools

Kubernetes
GCP

Job description

Cloudjobs seeks a software engineer to design and build systems for managing a fleet of GPU servers and data center infrastructure. You will drive observability, automation, and tooling for fault remediation, validation, and facilities management of power and liquid cooling systems.

Candidates should have strong distributed systems experience and expertise with cloud platforms like GCP and Kubernetes, with proficiency in Go, Python, Java, or Rust, and the ability to set technical direction for

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