Senior Solution Engineer

Lambda; United States; Hybrid; USD 180,000 - 280,000; Full time

Job summary

Lambda is seeking a technically adept Sales Engineer to drive complex GPU cloud solutions for large enterprises. You will collaborate with Account Executives to design end-to-end GPU architectures, run PoCs, and deliver compelling proposals and blueprints.

Role requires in-person presence in SF/SJ/Bellevue offices four days a week, with Tuesdays as the designated work-from-home day. You will partner with product/engineering to translate customer feedback into actionable improvements.

Qualifications

• Proven track record deploying, benchmarking, and optimizing GPU workloads.
• Experience designing end-to-end GPU cloud solutions for enterprises.
• Strong collaboration with product/engineering teams to translate field insights.

Responsibilities

• Lead PoC activities and benchmarking for customers.
• Design and propose architecture diagrams and BOMs for multi-node GPU clusters.
• Provide architectural guidance on high-performance networking and storage.
• Create field enablement assets and technical workshops for prospective clients.

Skills

GPU architectures

Proof-of-concept

SLURM

Kubernetes

NVLink

Tools

BOMs

Rack elevations

Job description

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 Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.

What You’ll Do

Drive technical sales executive influencePartner with Account Executives to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)Evaluate customer architectural needs, uncover potential bottlenecks, and design end-to-end GPU cloud solutionsAuthor comprehensive proposals architecture diagrams and collaborate with teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clustersLead hands-on proof-of-concept (PoC) activities benchmarking for customersDesign, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and valueRun benchmark evaluations across training and inference workloads to show tangible performance and cost advantages over competitorsArchitect optimize AI/ML workloadsGuide enterprise engineering teams on structuring their AI lifecycle—from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observabilityProvide architectural guidance on high-performance networking (InfiniBand, RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilizationChampion customer feedback product advocacyServe as the technical voice of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teamsCreate field enablement assets, technical whitepapers, architectural blueprints, and lead technical workshops for prospective clients partnersRepresent Lambda as a subject matter expert at industry conferences, webinars, and technical community eventsReinforce Lambda’s cultureContribute positively throughout the organizationMaintain a high level of agility and responsivenessHyper-focused on customer satisfactionYouHave a proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures (e.g., HGX platforms, NVLink