Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
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.
About 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
Based on market data and other factors, the annual salary range for this position is $255,000-$340,000. 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, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
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
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.
