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Staff HPC Systems Architect

Lambda· Data Center Business
Apply on company site
Hybrid (San Jose Office (First St)), Hybrid (San Francisco Office (Fremont St)), Hybrid (Bellevue Office)$349k - $465kFull-timePosted 1mo ago

About the role

Staff HPC Systems Architect information for Lambda’s AI cloud infrastructure, focusing on scalable compute platforms for AI/ML, simulations, and high-throughput workloads.

Responsibilities

  • Architect and define scalable compute platforms optimized for AI/ML, simulation, and high-throughput workloads.
  • Develop compute system standards and design patterns to ensure consistency, performance, and maintainability across infrastructure.
  • Evaluate emerging CPU, GPU, and accelerator technologies, owning architectural tradeoff decisions that impact compute density, power, cooling, and total cost.
  • Collaborate with product and engineering teams to map workload requirements to compute platform capabilities across bare metal and cloud deployments.
  • Convert ambiguous business or customer needs into measurable platform requirements, technical specifications, acceptance criteria, and architecture decisions.
  • Define compute platform roadmaps and architectural reference designs that guide hardware selection, firmware baselines, rack-level, and cluster design.
  • Act as a technical lead during new platform introductions, guiding validation and performance characterization efforts.
  • Mentor systems engineers and cross-functional stakeholders on compute performance tuning, sizing, and architectural decisions.

Qualifications

  • Proven experience (7+ years) architecting large-scale 10k-100k+ GPU HPC or cloud compute platforms.
  • Deep knowledge of CPU/GPU architectures, memory hierarchies, and accelerator topologies.
  • Experience designing systems around high-bandwidth, low-latency fabrics (NVLink, InfiniBand, and RoCE).
  • Strong understanding of system performance tuning, resource scheduling, thermal and power optimization, and compute lifecycle management.
  • Comfortable working across hardware and software boundaries, especially at the intersection of compute architecture, OS behavior, and orchestration layers.
  • Skilled at balancing architectural tradeoffs for density, power efficiency, cooling, and performance.
  • Strong analytical and communication skills, with a track record of influencing technical strategy across teams.
  • Strong ownership and can-do attitude, self-starter who feels comfortable working in ambiguity.

Skills

Required:GPU/HPC architectureCPU/GPU architecturesHigh-bandwidth, low-latency interconnectsPerformance tuningAtmosphere crossing hardware/software

Benefits

  • 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
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Lambda

The Superintelligence Cloud

The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.

AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1

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