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Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers globally. The Architecture team designs, develops, and executes next-generation GPU clusters that power AI research, enterprise, and hyperscaler workloads. This Senior HPC Systems Architect role focuses on designing cutting-edge liquid-cooled HPC solutions that maximize performance, scalability, and reliability at scale.
You will design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications, working at the intersection of GPU systems, high-performance networking, power and cooling, and data center design. Key responsibilities include:
- 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
Required qualifications:
- 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).
Lambda offers generous cash and equity compensation, health/dental/vision coverage, wellness and commuter stipends, 401k with 2% match, and flexible paid time off. The role requires presence in the San Jose office 4 days per week, with Tuesday as the designated work-from-home day.
