Senior HPC Architect for AI Compute Platforms

Lambda; San Jose (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Equity compensation

401k with 2% company match

Wellness stipend

Commuter stipend

Flexible paid time off

Job summary

Lambda, The Superintelligence Cloud, is seeking a Senior Compute Platform Architect to lead the design of scalable AI/ML compute infrastructure across bare metal and cloud deployments. You will define architecture standards, drive performance tuning, and guide hardware/software tradeoffs for density and efficiency.

You will collaborate with product and engineering teams, assess CPU/GPU/accelerator technologies, and mentor cross-functional staff.

Qualifications

• Proven track record architecting 10k+ GPU HPC or cloud compute platforms.
• Deep knowledge of CPU/GPU architectures and memory hierarchies.
• Experience with high-bandwidth, low-latency fabrics (NVLink, InfiniBand, RoCE).

Responsibilities

• Architect scalable compute platforms optimized for AI/ML, simulation, and high-throughput workloads.
• Develop compute system standards and design patterns for performance and maintainability.
• Evaluate CPU/GPU/accelerator tech and guide tradeoffs for density, power, cooling, and TCO.
• Collaborate with product and engineering to map workloads to platform capabilities across bare metal and cloud deployments.
• Translate ambiguous business needs into measurable platform requirements and architecture decisions.
• Define compute platform roadmaps and reference designs for hardware, firmware, and rack/clusters.
• Lead validation and performance characterization during new platform introductions.
• Mentor engineers on compute performance tuning, sizing, and architectural decisions.

Skills

CPU architectures

GPU architectures

Memory hierarchies

High-bandwidth fabrics

Resource scheduling

Thermal optimization

Power optimization

Compute lifecycle management

Orchestration layers

Analytical skills

Communication skills

Ownership / self-starter

Tools

Slurm

Kubernetes

GPU virtualization

Job description

Lambda, The Superintelligence Cloud, is seeking a Senior Compute Platform Architect to lead the design of scalable AI/ML compute infrastructure across bare metal and cloud deployments. You will define architecture standards, drive performance tuning, and guide hardware/software tradeoffs for density and efficiency.

You will collaborate with product and engineering teams, assess CPU/GPU/accelerator technologies, and mentor cross-functional staff.