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.
Skills Required
- 8+ years 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 performance benchmarks, capacity planning, and system validation
- Exceptional skills in system architecture, design documentation, and technical specifications
- Provide technical leadership and mentoring to engineering teams
- Ability to work collaboratively across teams and align technical solutions with business objectives
- Work presence in San Francisco or San Jose office 4 days per week
- 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)
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
