Lambda Logo

Lambda

Staff HPC Network Architect

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
284K-420K Annually
Senior level
Hybrid
2 Locations
284K-420K Annually
Senior level
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.
The summary above was generated by AI

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.

HQ

Lambda San Francisco, California, USA Office

San Francisco, CA, United States, 94107

Similar Jobs

2 Days Ago
Hybrid
2 Locations
284K-420K Annually
Senior level
284K-420K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Architect high-performance, low-latency networking for AI cloud platforms, GPU clusters, storage systems, and multi-tenant environments. Define network topologies, standards, reference designs, and scalability roadmaps; evaluate advanced InfiniBand and Ethernet technologies; guide automation and telemetry strategies; and build resilient, fault-tolerant architectures. Partner with compute and storage architects, mentor engineers, and influence technical decisions across teams.
Top Skills: APIsBgpDpuDwdmEbgpEcmpEcnEsunEthernetEvpnInfiniband Hdr/Ndr/XdrMp-Bgp EvpnMpiNcclNetwork TelemetryNvidia BluefieldOciPfcQosRdmaRoceSdnSmartnicUltra EthernetVxlanWdm
35 Minutes Ago
Hybrid
San Francisco, CA, USA
200K-275K Annually
Expert/Leader
200K-275K Annually
Expert/Leader
Artificial Intelligence • Enterprise Web • Sales • Software
Own Attio’s startup ecosystem strategy in the Bay Area, driving adoption among YC, accelerator, Series A, and leading VC portfolio companies. Build strategic partnerships with investors and ecosystem leaders, create founder-focused events and content, develop trusted relationships, and coordinate with product, sales, and marketing to remove adoption barriers. The role requires founder-level autonomy, strong startup ecosystem credibility, exceptional communication, and a track record of delivering impactful programs.
Top Skills: CRM
An Hour Ago
Remote or Hybrid
2 Locations
164K-297K Annually
Expert/Leader
164K-297K Annually
Expert/Leader
Fintech • Payments • Software • Financial Services
Lead commercialization of emerging AI products by securing enterprise customers and strategic partners, structuring pilots, and converting them into scaled relationships. Own engagements from prospecting and negotiation through launch and optimization, while partnering with Product and Engineering to shape product strategy, pricing, implementation, and go-to-market models.
Top Skills: AICloud InfrastructureData InfrastructureDeveloper Platforms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account