Lambda
Senior Software Engineer - Fleet Engineering
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco Office (Fremont St)
Employer listed it 5 months ago · Added 5 days ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$230,000 to $395,000
Location
Hybrid · San Francisco Office (Fremont St)
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco Office (Fremont St), San Jose Office (Zanker), Bellevue Office, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco Office (Fremont St), San Jose Office (Zanker), Bellevue Office, Hybrid"
- Listing mentions "Hybrid" and 4 days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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.
What You’ll Do
Fleet Engineering spans several teams. Depending on the team you join, your day-to-day will involve some combination of the following:
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.
You
Have 5+ years of engineering experience
Are 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
Are 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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·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
- ·Equal Opportunity Employer
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Lambda, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$230,000 to $395,000 · You'll be taken to the employer's careers page.