Senior Software Engineer - Fleet Engineering

About the Position

Senior Software Engineer - Fleet Engineering

Join Lambda, a leader in AI cloud infrastructure, as a Senior Software Engineer in Fleet Engineering. If you're passionate about building the world's best AI cloud, this role is for you.

Location

• San Francisco Office (Fremont St)
• San Jose Office (Zanker)
• Bellevue Office

Employment Type

Full time

Location Type

Hybrid

Department

Data Center Business

Compensation

• San Francisco / San Jose: $255K – $395K
• Bellevue: $230K – $356K

About the Role

Lambda, The Superintelligence Cloud, is on a mission to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Fleet Engineering at Lambda is responsible for logically deploying, provisioning, and maintaining our rapidly growing fleet, spanning GPU, CPU, and storage hosts along with the InfiniBand and networking fabric that ties them together.

As a Senior Software Engineer in Fleet Engineering, you will build and improve the systems that take our clusters from hardware receiving through provisioning, configuration, and day-to-day operation in production. You will work on automation and tooling that keep the fleet consistent, healthy, and easy to operate as it grows. The systems you build directly determine how quickly and reliably new hardware turns into usable customer capacity.

Responsibilities

• Develop and Maintain Production Systems: Design, implement, and improve the software that powers fleet lifecycle management, machine configuration, and cluster state at scale.
• Automate Provisioning and Deployment: Build and enhance automation that takes clusters from logical design and racking through OS provisioning, configuration, validation, and customer hand-off.
• Support New Hardware and Site Bring-Up: Enable bring-up, validation, and production readiness for new server, accelerator, and network platforms, as well as new datacenter sites.
• Improve Machine Lifecycle Workflows: Refine bare metal provisioning, firmware and DPU updates, imaging, and system health monitoring across the fleet.
• Keep Fleet State Consistent and Healthy: Build systems that reconcile intended against actual configuration, catch drift before it causes deployment failures, and maintain production SLAs.
• Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, DPUs, networking, storage, and boot flows.
• Collaborate Across Teams: Work closely with datacenter and deployment operations, networking, architecture, security, and product engineering teams to build scalable, maintainable solutions.

Requirements

• 5+ years of engineering experience
• Fluent in Python, Go, or similar, and comfortable with APIs, distributed systems, and automation pipelines
• Work confidently in Linux environments and can debug across the OS, hardware, and networking layers
• Excited about working at the intersection of hardware, software, and physical datacenter builds
• Have owned production systems with real SLAs
• Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment across teams, and ship
• Leave systems, and the teammates around you, better than you found them

Nice to Have

• Experience in AI or ML infrastructure, or other hyperscale compute environments
• Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as PXE, Redfish, IPMI, BMC, DHCP, and DNS
• Familiarity with datacenter physical infrastructure, including racks, switches, InfiniBand fabric, and power domains
• Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers
• Experience with DPUs or programmable network accelerators
• Experience with network source-of-truth systems (NetBox or similar) or DCIM tooling
• Experience building Linux distributions or managing OS customization and imaging
• Familiarity with Ansible or similar configuration management tooling
• Exposure to Kubernetes and container orchestration concepts
• Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation

We Offer

• Competitive salary
• 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

About the Company

Founded in 2012, Lambda has 500+ employees and is growing fast. Our investors 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.

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.

Compensation Range: $230K - $395K