hirly

Lambda

Staff HPC Systems Architect

San Jose Office (First St) · San Francisco Office (Fremont St) · Bellevue Office

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Lambda first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 190,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Lead / management
Stated salary
$314,000 – $465,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
18 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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)

Experience with virtualization technologies, specifically GPU virtualization.

Exposure to hardware validation, vendor collaboration, and long-term OEM roadmap alignment.

Background in compute telemetry, real-time performance profiling, or large-scale A/B infrastructure testing.

Salary Range Information

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.

About Lambda

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

Equal Opportunity Employer

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.

Original posting on Lambda's site ↗

Listed on hirly, a job board. hirly is not the employer: Lambda is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job