Software Engineer - Fleet
Lambda · San Francisco Office · Data Center Business
About this role
Lambda is hiring a mid-level Software Engineer based in San Francisco Office. The posting calls out experience with Kubernetes, Ansible, Serverless, Linux. Compensation is listed at $225,000–$300,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco Office
- Department
- Data Center Business
- Posted
- May 11, 2026
More roles at Lambda
Job description
from Lambda careersLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.
What You’ll Do
Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.
Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.
Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.
Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.
Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.
This is an excerpt. Read the full job description on Lambda careers →