Solutions Architect, Lambda

• Love learning both broadly and deeply
• Are a skilled communicator who can translate technical concepts into plain english from vague customer needs into technical requirements on the fly
• Are comfortable communicating with and crafting presentation collateral for customers, both internal and external
• Identify 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 infrastructure
• Have 3+ years of experience designing, deploying and scaling hardware infrastructure
• Have familiarity with container orchestration platforms like Kubernetes
• Have experience working with NVIDIAs GPUs
• Are a self-starter, curious, and not afraid to ask when in doubt
• Measure yourself on results, not effort, and constantly seek to accomplish more by becoming more efficient
• Are able to build strong relationships across your entire organization
• Have a proven mindset of never-ending improvement
• Are comfortable in a an environment where customer’s needs, and the products that serve them, are continuously evolving

Desirable

• 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