Lambda에서 GPU 플릿 관리 및 인프라 자동화를 담당할 시니어 소프트웨어 엔지니어를 채용합니다. Go 또는 Python을 활용한 프로덕션 환경 개발 경험과 베어메탈 하드웨어 관리 역량이 필수입니다. 대규모 AI 클라우드 인프라를 구축하며 시스템 안정성을 책임질 전문가를 찾습니다.
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/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.
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 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.
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.
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.
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.
Founded in 2012, with 500+ employees, and growing fast
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
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
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.
