Lambda
Senior Software Engineer - Fleet
San Francisco Office (Fremont St) · Senior
Sponsorship not specifiedDetected 72 days ago
PythonGoCloud PlatformsKubernetesLinuxMachine LearningEmbedded SystemsBGP/OSPFResearch
About the role
- Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.
- Salary Range Information 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.
Responsibilities
- 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.
- Support DPU Lifecycle Automation: Help provision, configure, update, and debug DPUs and programmable network accelerators.
- Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.
- Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
Requirements
- 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.
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 with DPUs, NVIDIA BlueField, 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.
- 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.
- If you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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
Benefits
- Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- We offer generous cash & equity compensation
- 401k Plan with 2% company match (USA employees)
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.