Staff HPC Network Architect

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
284K-420K Annually
Senior level
Software
The Role
Architect high-performance, low-latency networking for large-scale GPU clusters, storage systems, cloud platforms, and multi-tenant environments. Define network topologies, standards, reference designs, and scalability roadmaps; evaluate advanced InfiniBand and Ethernet technologies; optimize routing, congestion control, optical connectivity, automation, telemetry, resiliency, and fault tolerance. Partner with compute and storage architects, guide technical strategy, and mentor engineering teams.
Summary Generated by Built In

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose, San Francisco, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


What You’ll Do

  • Architect high-performance networking solutions that power cloud platforms, with a focus on ultra-low-latency and high-bandwidth connectivity.

  • Define the network topology and architectural patterns for large-scale GPU clusters, storage backends, and multi-tenant environments.

  • Evaluate, benchmark, and select next-generation network technologies (e.g., InfiniBand NDR/XDR, RoCE, 400G-1.6T Ethernet, Ultra Ethernet, ESUN, OCI, etc) to meet AI workload requirements.

  • Develop and maintain network architecture standards, reference designs, and scalability roadmaps for multi-site and hybrid environments.

  • Partner with compute and storage architects to ensure seamless end-to-end data flow and fault tolerance.

  • Guide network automation strategies and tooling to enable efficient provisioning, telemetry, and operational visibility.

  • Mentor engineers and cross-functional teams on advanced network concepts, troubleshooting, and architectural best practices.

You

  • Proven experience (7+ years) architecting high-performance data center networks, preferably for HPC, AI/ML, or large-scale cloud infrastructure.

  • Deep expertise with InfiniBand (HDR/NDR) and advanced Ethernet fabrics, including RoCE and RDMA protocols.

  • Strong understanding of data center switching architectures, congestion control (PFC, ECN), QoS, and network virtualization technologies such as VXLAN and EVPN.

  • Skilled in designing for low-latency and high-throughput data paths, including GPU-to-GPU and storage traffic optimization.

  • Expertise with BGP-based fabric design, including eBGP underlays, MP-BGP EVPN, ECMP, route policy, and convergence.

  • Experience with SDN, APIs, automation, and network telemetry.

  • Strong optical networking competency, including transceiver technologies, fiber types and topologies, link budgets, breakout architectures, and WDM.

  • Experience building resilient, fault-tolerant high-performance network architectures with redundancy, failover, and high availability.

  • Excellent communication and leadership skills, capable of influencing technical decisions across diverse teams.

  • Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.

Nice to Have

  • Hands-on experience with AI workload profiling, collective communication patterns (e.g., NCCL, MPI), and network tuning for distributed training.

  • Familiarity with network automation frameworks and telemetry tools.

  • Exposure to DPU/SmartNIC technologies, including NVIDIA BlueField, or similar.

  • Knowledge of large-scale, multi-site interconnect design, including DWDM or metro/long-haul networking.

  • Experience collaborating with hyperscale or enterprise customers on highly customized network designs.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast

  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • 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

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Skills Required

  • 7+ years architecting high-performance data center networks, preferably for HPC, AI/ML, or large-scale cloud infrastructure
  • Deep expertise with InfiniBand HDR/NDR and advanced Ethernet fabrics, including RoCE and RDMA
  • Strong understanding of data center switching architectures, PFC, ECN, QoS, VXLAN, and EVPN
  • Experience designing low-latency, high-throughput GPU-to-GPU and storage data paths
  • Expertise in BGP-based fabric design, eBGP underlays, MP-BGP EVPN, ECMP, route policy, and convergence
  • Experience with SDN, APIs, automation, and network telemetry
  • Strong optical networking competency, including transceivers, fiber types, topologies, link budgets, breakout architectures, and WDM
  • Experience building resilient, fault-tolerant network architectures with redundancy, failover, and high availability
  • Excellent communication and leadership skills
  • Strong ownership, self-direction, and comfort working in ambiguity
  • Hands-on experience with AI workload profiling, NCCL, MPI, and distributed-training network tuning
  • Familiarity with network automation frameworks and telemetry tools
  • Exposure to DPU/SmartNIC technologies, including NVIDIA BlueField
  • Knowledge of large-scale multi-site interconnect design, including DWDM or metro/long-haul networking
  • Experience collaborating with hyperscale or enterprise customers on customized network designs

Lambda Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.

  • Fair & Transparent Compensation Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
  • Healthcare Strength Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
  • Leave & Time Off Breadth Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.

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The Company
HQ: San Francisco, CA
106 Employees
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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