Lambda
AI cloud infrastructure
SoftwareEngineer-Fleet
Neural analysis suggests this role is
optimal for Entry candidates.
“Software Engineer - Fleet at Lambda. Skills: Go, Python, Linux, Configuration management, Infrastructure automation, Hardware debugging. Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale. Build and enhance automation frameworks for machine provisioning, configuration management, and deployment”
Industry & Context.
Independently troubleshoot complex systems; Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows; Diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers
Presence in our San Francisco/San Jose or Bellevue office location 4 days per week
What They're Looking For.
Must Have
2+ years of experience working with Go (Golang) or Python in production environments, 2+ years of experience with configuration management tools and practices, 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
Nice to Have
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 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, Familiarity with Ansible for system configuration and automation, Exposure to Kubernetes and container orchestration concepts
What You'll Do.
and improve software that powers GPU fleet lifecycle management and machine configuration at scale
Build and enhance automation frameworks for machine provisioning
configuration management
and production readiness for new server and accelerator platforms
Improve and refine workflows for bare metal provisioning
and system health monitoring
Investigate failures across BIOS
How You'll Work.
Team & Collaboration
Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions; Communicate effectively across software, infrastructure, and vendor teams
Communication Scope
Communicate effectively across software, infrastructure, and vendor teams
Full Job Description
Lambda, 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. - Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions. You - Have 2+ years of experience working with Go (Golang) or Python in production environments. - Have 2+ years of experience with configuration management tools and practices. - Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers. - Can independently troubleshoot complex systems and c
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