Hardware Solutions Engineer

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.What You’ll DoChampion Lambda's Hardware Solutions:Become a subject matter expert in Lambda's GPU enabled workstations and servers,Develop technical enablement materials (e.g., datasheets, application notes, performance benchmarks) for internal and external hardware-focused audiences.Own the technical side of Lambda’s sales process.Partner with account executives to evaluate customer hardware requirements,Evaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomesRecommend optimal hardware configurations in a cohesive solution to meet specific application, workflow, and performance needs.Generate detailed technical Bills of Materials, ensuring successful hardware deployments and customer satisfaction.Document proposal and designs in formats including but not limited to presentations, white-papers, diagrams, Bill of Materials and rack elevationsDemonstrate expertise in Lambda’s hardware infrastructure Build structured and purposeful learning into your work routineDevelop and support internal Lambda community as a subject matter expertBe an expert at deploying AI/ML workloads on Lambda hardware solutionsStay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resourcesDevelop high quality processes and documentationReinforce Lambda’s cultureContribute positively throughout the organizationMaintain a high level of agility and responsiveness Hyper-focused on customer satisfactionYou Love learning both broadly and deeplyAre a skilled communicator who can translate technical concepts into plain english from vague customer needs into technical requirements on the flyAre comfortable communicating with and crafting presentation collateral for customers, both internal and externalIdentify as a subject matter expert in the ML/AI HPC industry Have 4+ years of experience as a product lead or as a solutions architect role supporting hardware infrastructureHave 3+ years of experience designing, deploying and scaling hardware infrastructureHave familiarity with container orchestration platforms like KubernetesHave experience working with NVIDIAs GPUsAre a self-starter, curious, and not afraid to ask when in doubtMeasure yourself on results, not effort, and constantly seek to accomplish more by becoming more efficient Are able to build strong relationships across your entire organizationHave a proven mindset of never-ending improvementAre comfortable in a an environment where customer’s needs, and the products that serve them, are continuously evolvingNice to HaveExperience using deep learning frameworks such as TensorFlow or PyTorchExperience designing, implementing and maintaining large-scale HPC infrastructureExperience in operations management or Six Sigma methodologyExperience in defining and refining process workflows Salary Range Information Based on market data and other factors, the anticipated on-target earnings for the role are $235,000 to $337,000 with a 70/30 split. 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, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, 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 useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal 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.

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