hirly

Lambda

Senior HPC Systems Architect

San Jose Office (Zanker) · San Francisco Office (Fremont St)

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 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

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

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
Senior
Stated salary
$296,000 – $395,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
7 Nov 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 Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Architecture leads the design, development, and execution of next-generation GPU clusters. Our team gets first access to the latest technologies and is responsible for translating emerging platform capabilities into scalable, production-ready infrastructure. Our scope spans from rack and pod level system arrangement that maximizes the data center power footprint, to right-sizing compute fabrics that meet the most demanding customer workloads.

We work at the intersection of GPU systems, high-performance networking, power and cooling, data center design, and customer-scale AI infrastructure.

We're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.

What You'll Do

Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.

Collaborate with internal teams and stakeholders to define system requirements and performance goals.

Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.

Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.

Create detailed architectural plans, documentation, and blueprints to guide implementation teams.

Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.

You

8+ years of experience designing and architecting large-scale HPC and distributed computing systems.

Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.

Hands-on experience with direct-to-chip liquid cooling systems.

Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.

Exceptional skills in system architecture, design documentation, and technical specifications.

Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.

Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.

Nice to Have

Prior experience with AI infrastructure design.

Familiarity with cloud computing environments and hybrid cloud HPC architectures.

Knowledge of automation and orchestration tools (Ansible, Terraform, Kubernetes).

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