Staff Compute Platform Engineer – AI Cloud & GPU/CPU

Lambda

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Benefits offered by this job

Health, dental, vision coverage
401k with 2% company match
Flexible PTO
Wellness and commuter stipends

Job summary

Lambda, The Superintelligence Cloud, is shaping the future of AI cloud infrastructure. This Staff Software Engineer role focuses on the compute pillar, driving the lifecycle of GPU/CPU host instances and a robust control plane at massive scale.

You will steer decisions across BIOS, firmware, Linux kernel internals, and DPU utilization, ensuring enterprise-grade SLAs for top AI researchers and CSP-style operations.

Qualifications

  • 10+ years of experience building compute control planes and distributed systems for large-scale cloud platforms.
  • Proven mastery of durable execution models and scalable cloud provisioning.
  • Strong knowledge of Linux kernel internals, BIOS/firmware, and hardware integration.

Responsibilities

  • Design and implement a highly available host and instance lifecycle control plane.
  • Guide decisions on semiconductor architecture, BIOS settings, and DPU utilization for performance and reliability.
  • Lead cross-functional teams to define infrastructure roadmaps and technical strategy.
  • Provide technical mentorship to senior engineers across multiple teams.
  • Translate customer requirements into scalable infrastructure capabilities and deliverables.
  • Set engineering standards and lead design reviews for mission-critical cloud software.

Skills

C/C++
Rust
Python
Go

Tools

KVM
QEMU

Job description

Lambda, The Superintelligence Cloud, is shaping the future of AI cloud infrastructure. This Staff Software Engineer role focuses on the compute pillar, driving the lifecycle of GPU/CPU host instances and a robust control plane at massive scale.

You will steer decisions across BIOS, firmware, Linux kernel internals, and DPU utilization, ensuring enterprise-grade SLAs for top AI researchers and CSP-style operations.

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