Senior Solution Engineer

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 DoDrive 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) using deep learning frameworks (PyTorch, NeMo) and inference engines (vLLM, TensorRT-LLM)Have 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructureHave 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environmentsHave 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloadsHave strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and AnsibleHave deep knowledge of cloud networking concepts, including high-speed interconnects (InfiniBand, RoCE), distributed file systems (NFS, NVMe-oF, Weka, VAST), security, and cost optimizationHave experience coding in Python, Go, C/C++ (CUDA) or similar programming languageHave experience partnering with Account Executives to close complex cloud deals, present technical architectures to C-level stakeholders (CTOs, VP of Eng), and drive customer alignmentHave demonstrated impact at an organizational/multi-departmental level and are effective mentoring junior SEs or architectsThrive in dynamic settings and embrace radical ownership of initiatives and outcomesNice to HaveDirect experience with end-to-end LLM fine-tuning, algorithm selection, pipeline design, or distributed training setups (3D parallelism, Megatron-LM)Prior experience with product launches, leading GTM initiatives, or publishing technical whitepapers/benchmarksExperience integrating RESTful APIs, gRPC, and service-oriented cloud architecturesSalary Range InformationThe 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 LambdaFounded in 2012, with 500+ employees, and growing fastOur 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 CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: https://lambda.ai/careersWe offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda 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.Compensation Range: $226K - $355K