Senior Software Engineer - Fleet

* Note:

This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week;
Lambda’s designated work from home day is currently Tuesday.

• 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.
• Support DPU Lifecycle Automation
  :
  Help provision, configure, update, and debug DPUs and programmable network accelerators.
• Debug Hardware and Firmware Issues
  :
  Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.
• Collaborate Across Teams
  :
  Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.

• Have 6+ years of experience working with Go (Golang) or Python in production environments.
• Have 6+ years of experience with bare metal hardware management and configuration.
• Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.
• Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.

• Experience with Go in infrastructure, systems, or backend development.
• Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as Redfish, BMC, IPMI, DHCP, and PXE
  .
• Experience with DPUs, NVIDIA Blue Field, SuperNICs, or other programmable network accelerators.
• Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers.
• Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation.
• Experience building Linux distributions or managing OS customization and imaging.
• Exposure to DPU-adjacent networking, storage, or security technologies such as OVS/OVN, BGP/FRR, SR-IOV/VFs, DOCA, NVMe emulation
  , telemetry agents, or certificate-based service authentication.
• Exposure to Kubernetes and container orchestration concepts.

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

• We offer generous cash & equity compensation
• Health, dental, and vision coverage for you and your dependents
• Wellness and commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible paid time off plan that we all actually use

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.