AI Compute Platform Architect - HPC, GPU & Cloud

lambda; Manchester; On-site; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Wellness and commuter stipends

401k Plan with company match

Job summary

Lambda, The Superintelligence Cloud, seeks a senior architect to lead the design of scalable AI compute platforms spanning bare metal and cloud deployments. You will optimize for throughput, latency, power, and cooling while balancing density and cost.

You will mentor engineers, set architecture standards, and translate ambiguous customer needs into measurable requirements. Deep CPU/GPU knowledge and collaboration with product/engineering are essential.

Qualifications

• 7+ years experience architecting large-scale 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 ownership and can-do attitude, self-starter who feels comfortable working in ambiguity.
• Strong analytical and communication skills, with a track record of influencing technical strategy across teams.

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.
• Experience converting 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.

Skills

GPU HPC architecture

CPU/GPU architectures

Memory hierarchies

Performance tuning

Orchestration knowledge

Analytical & communication

Tools

Slurm

Kubernetes

Job description

Lambda, The Superintelligence Cloud, seeks a senior architect to lead the design of scalable AI compute platforms spanning bare metal and cloud deployments. You will optimize for throughput, latency, power, and cooling while balancing density and cost.

You will mentor engineers, set architecture standards, and translate ambiguous customer needs into measurable requirements. Deep CPU/GPU knowledge and collaboration with product/engineering are essential.