Lambda
Staff HPC Systems Architect
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Jose Office (First St)
Employer listed it 9 days ago · Added 4 days ago
First listed 9 days ago and still open.
Salary
$314,000–$465,000
Location
Hybrid · San Jose Office (First St)
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Jose Office (First St), San Francisco Office (Fremont St), Bellevue Office, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Jose Office (First St), San Francisco Office (Fremont St), 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 Jose, San Francisco, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Architect and define scalable compute platforms optimized for AI/ML, simulation, and high-throughput workloads.
Develop compute system standards and design patterns to ensure consistency, performance, and maintainability across infrastructure.
Evaluate emerging CPU, GPU, and accelerator technologies, owning architectural tradeoff decisions that impact compute density, power, cooling, and total cost.
Collaborate with product and engineering teams to map workload requirements to compute platform capabilities across bare metal and cloud deployments.
Experience converting ambiguous business or customer needs into measurable platform requirements, technical specifications, acceptance criteria, and architecture decisions.
Define compute platform roadmaps and architectural reference designs that guide hardware selection, firmware baselines, rack-level, and cluster design.
Act as a technical lead during new platform introductions, guiding validation and performance characterization efforts.
Mentor systems engineers and cross-functional stakeholders on compute performance tuning, sizing, and architectural decisions.
You
Proven experience (7+ years) architecting large-scale 10k-100k+ GPU HPC or cloud compute platforms.
Deep knowledge of CPU/GPU architectures, memory hierarchies, and accelerator topologies.
Experience designing systems around high-bandwidth, low-latency fabrics (NVLink, InfiniBand, and RoCE).
Strong understanding of system performance tuning, resource scheduling, thermal and power optimization, and compute lifecycle management.
Comfortable working across hardware and software boundaries, especially at the intersection of compute architecture, OS behavior, and orchestration layers.
Skilled at balancing architectural tradeoffs for density, power efficiency, cooling, and performance.
Strong analytical and communication skills, with a track record of influencing technical strategy across teams.
Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.
Nice to Have
Hands-on experience with AI/ML workloads and their compute performance characteristics.
Familiarity with orchestration tools used in HPC. (Slurm, Kubernetes, etc)
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 today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
$314,000–$465,000 · You'll be taken to the employer's careers page.