GPU Cluster Architect

Accountabilities • Architect scalable GPU cluster topologies encompassing compute nodes, high-performance interconnects, storage systems, and control planes.

• Define and evaluate infrastructure architectures capable of supporting large-scale AI and machine-learning workloads across multiple data center sites.

• Model workload requirements for applications such as large language model training and inference, using latency, bandwidth, GPU density, and other performance factors to guide architectural decisions.

• Design and validate high-throughput, low-latency networking architectures at both POD and data-center scale, including InfiniBand and Ethernet-based environments.

• Work with network architecture teams to evaluate and validate technologies such as InfiniBand HDR/NDR and RoCEv2.

• Partner with storage engineering teams to optimize infrastructure for training datasets, checkpointing, and other demanding AI workloads.

• Analyze monitoring and telemetry signals to identify design issues, reliability risks, and opportunities for architectural improvement.

• Collaborate closely with site reliability, networking, storage, and data center engineering teams to operationalize, deploy, and scale infrastructure architectures.

• Contribute to automation and telemetry initiatives that improve the visibility, performance, and reliability of large-scale GPU environments.

• Make end-to-end architectural decisions that balance scalability, performance, reliability, operational complexity, and infrastructure efficiency.

Requirements

• 5+ years of experience designing and architecting large-scale computing or GPU clusters.

• Deep understanding of modern GPU architectures, including NVIDIA, AMD, or comparable platforms.

• Strong experience with high-performance computing interconnects, particularly InfiniBand and RoCE.

• Solid background in systems architecture, networking, hardware infrastructure, and hardware reliability.

• Understanding of GPU cluster design principles, including compute topology, network architecture, storage integration, and control-plane considerations.

• Experience evaluating infrastructure performance and making architecture decisions based on workload characteristics such as latency, bandwidth, and compute density.

• Experience with scripting or software development for automation, telemetry, monitoring, or infrastructure tooling using languages such as Python or Go.

• Ability to analyze technical signals and operational data to identify infrastructure issues and inform design improvements.

• Strong cross-functional collaboration skills, with the ability to work effectively with networking, storage, site reliability, and data center engineering teams.

• Strong analytical and problem-solving abilities, with a practical approach to complex infrastructure challenges.

• Ability to work independently in a fast-moving environment while taking ownership of significant architectural decisions.

• Excellent communication skills and the ability to explain complex technical architectures and tradeoffs to technical stakeholders.

Benefits

• Competitive compensation ranging from $184,000 to $318,000 OTE , including base salary and performance bonus.

• Equity in the form of RSUs may be available at certain salary grades.

• 100% company-paid medical, dental, and vision insurance for employees and their families.

• 401(k) plan with up to a 4% company match and immediate vesting.

• Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.

• Remote work reimbursement of up to $85 per month for mobile and internet expenses.

• Company-paid short-term disability, long-term disability, and life insurance.

• Remote work flexibility for U.S.-based employees.

• Career growth and ongoing learning opportunities.

• Opportunity to work on large-scale AI and machine-learning infrastructure projects.

• Collaborative, international environment with experienced engineering and AI professionals.

• High level of ownership and opportunities to contribute to technically ambitious infrastructure initiatives.

• Work environment that encourages innovation, initiative, and continuous improvement.

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