Staff Software Engineer - GPU Fleet & Cloud Infra

Cloudjobs; San Francisco (CA); Presencial; USD 150 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

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

Ferramentas

Kubernetes

GCP

Descrição da oferta de emprego

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