Senior Software Engineer - Fleet Engineering
Lambda· Data Center Business
Hybrid (San Francisco Office (Fremont St)), Hybrid (San Jose Office (Zanker)), Hybrid (Bellevue Office)$255k - $395kFull-timePosted 5mo ago
About the role
Senior Software Engineer in Fleet Engineering responsible for building and improving systems that deploy, provision, and maintain Lambda's GPU/CPU/storage fleet, including automation, provisioning, configuration, and day-to-day operation in production.
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.
Qualifications
- 5+ years of engineering experience
- Fluent in Python, Go, or similar, with comfort in APIs, distributed systems, and automation pipelines
- Proficient in Linux environments and capable of debugging across OS, hardware, and networking layers
- Excited about hardware-software-physical datacenter builds
- Owned production systems with real SLAs
- Ability to lead technical design on medium-to-large features: define problem, write docs, align teams, ship
- Commitment to improving systems and teammates
Skills
Required:PythonGoLinux troubleshooting
Benefits
- 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
Last updated Oct 1, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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