In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn’t changed. Today, we’re on a mission to be the world’s top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we’ve got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

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.

• Champion 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 outcomes
• Recommend 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 elevations
• Demonstrate expertise in Lambda’s hardware infrastructure
• Build structured and purposeful learning into your work routine
• Develop and support internal Lambda community as a subject matter expert
• Be an expert at deploying AI/ML workloads on Lambda hardware solutions
• Stay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resources
• Develop high quality processes and documentation
• Reinforce Lambda’s culture
• Contribute positively throughout the organization
• Maintain a high level of agility and responsiveness
• Hyper-focused on customer satisfaction