Lambda Logo

Lambda

Senior HPC Systems Architect

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
296K-395K Annually
Senior level
Hybrid
San Francisco, CA, USA
296K-395K Annually
Senior level
Design and architect large-scale liquid-cooled HPC and GPU cluster systems, define requirements and performance goals, develop testing and validation frameworks, produce architectural documentation, evaluate emerging technologies, and provide technical leadership to implementation teams.
The summary above was generated by AI

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.

HQ

Lambda San Francisco, California, USA Office

San Francisco, CA, United States, 94107

Similar Jobs

2 Months Ago
Hybrid
San Francisco, CA, USA
296K-395K Annually
Senior level
296K-395K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design and architect large-scale liquid-cooled HPC GPU clusters, define system requirements, develop testing and benchmarking frameworks, evaluate emerging technologies, produce architecture documentation, and provide technical leadership to engineering teams.
Top Skills: AnsibleCapacity PlanningCloud ComputingDirect-To-Chip Liquid CoolingDistributed StorageEthernetGpu ClustersHybrid CloudInfinibandKubernetesPerformance BenchmarkingSystem ValidationTerraform
3 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Drives sales of storage products and solutions across assigned accounts or territories. Builds and manages pipelines, develops pursuit plans, qualifies opportunities, negotiates deals, and supports closing activities. Partners with account managers, presales teams, channel partners, and customers to deliver consultative storage solutions. Provides technical and commercial expertise, leads enablement and marketing activities, explains ROI and TCO benefits, and develops senior customer and partner relationships.
Top Skills: CloudStorage
3 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manages global accounting inventory transactions, ensures compliance with financial policies, supports moderately complex projects, and mentors or reviews colleagues. The role requires accurate transaction processing, analytical problem-solving, financial systems proficiency, deadline management, communication, and Microsoft Office skills. Preferred qualifications include pharmaceutical or healthcare experience, advanced regulatory knowledge, project management, SAP or ERP experience, and responsible use of generative AI tools.
Top Skills: ChatgptErp SystemsFinancial SoftwareMicrosoft CopilotMicrosoft Office SuiteSAP

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account