AI Cloud Compute Engineer (Hybrid 4 days in office)

Neura Market

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health coverage
Dental coverage
Vision coverage
401k with match
Flexible PTO
Equity compensation
Wellness stipend
Commuter stipend

Job summary

Lambda is seeking a Compute Software Engineer to advance our AI cloud infrastructure. You will design and maintain software for bare-metal and VM compute infrastructure, focusing on performance, scalability, and reliability.

The role emphasizes on-site collaboration across multiple offices with a designated WFH day on Tuesday. Ideal candidates have 3+ years in Go or Python production environments, plus experience with hardware management, Linux debugging, and cross-team communication.

Qualifications

  • 3+ years of production experience with Go or Python.
  • Experience with bare metal or virtualization hardware management.
  • Proficient in Linux debugging at OS, hardware, and networking layers.
  • Strong communication across software, infrastructure, and vendor teams.

Responsibilities

  • Design, develop and maintain software for GPU/CPU compute infrastructure with focus on performance, scalability, and reliability.
  • Implement and develop services for baremetal and VM instancing.
  • Develop distributed systems for managing and orchestrating compute resources across various SKU’s.
  • Troubleshoot and debug complex issues in a production and development environment.
  • On-call and incident ownership
  • Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC’s.

Skills

Go
Python
Bare metal
Virtualization
Linux
Troubleshooting
Communication

Tools

KVM
QEMU
Kubernetes
Slurm
Temporal

Job description

Lambda is seeking a Compute Software Engineer to advance our AI cloud infrastructure. You will design and maintain software for bare-metal and VM compute infrastructure, focusing on performance, scalability, and reliability.

The role emphasizes on-site collaboration across multiple offices with a designated WFH day on Tuesday. Ideal candidates have 3+ years in Go or Python production environments, plus experience with hardware management, Linux debugging, and cross-team communication.

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