Solutions Engineer

As an AI Solutions Engineer at Lambda, you will be responsible for partnering with customers to design compute infrastructure tailored to their specific deep learning needs. This role involves working with a range of customers, from large enterprises to research institutions and startups, to provide guidance on compute solutions. You will also advocate for Lambda's products, demonstrate hardware and software tools, and provide technical feedback to the product and marketing teams. Additionally, you will develop expertise in compute for deep learning, stay up to date on the latest trends, and contribute to the positive culture of the organization.

• Advocate for Lambda's Products
• Develop and maintain expertise in Lambda's hardware and software tools
• Demonstrate Lambda's hardware and software to customers, partner companies, and staff
• Write internal and public technical content
• Provide technical feedback from customers to Lambda's product and marketing teams
• Own the technical side of Lambda's sales process
• Partner with Lambda account managers to provide an excellent customer experience throughout the sales process
• Work with deep learning engineers and IT professionals from our customer's internal teams to identify challenges and bottlenecks
• Design compute solutions that meet the customer's needs
• Document designs in various formats including white-papers, wire diagrams, BoMs, and rack elevations
• Develop and maintain expertise in compute for deep learning
• Build structured and purposeful learning into work routine
• Become an expert in GPU training and inference workloads
• Stay up to date on the latest deep learning compute hardware trends
• Experiment with deep learning compute hardware trends using internal tools and resources
• Develop high-quality processes and documentation
• Reinforce Lambda's positive culture throughout the organization
• Love learning both broadly and deeply
• Skilled communicator who can translate technical concepts into plain English
• Able to craft excellent technical documentation
• Have had a technical role working with computer hardware on a pre-sales or engineering team
• Comfortable executing simple commands in Ubuntu or another Linux distribution
• Measure oneself on results, not effort, and constantly seek to accomplish more by becoming more efficient
• Able to build strong relationships across the entire organization
• Listen carefully and understand deeply
• Nice to have: Experience with GPU distributed training
• Nice to have: Experience with MLOps platforms
• Nice to have: Experience with a parallel file system
• Nice to have: Experience with data center networking equipment

• Develop and maintain expertise in Lambda's hardware and software tools
• Demonstrate Lambda's hardware and software to customers, partner companies, and staff
• Write internal and public technical content
• Provide technical feedback from customers to Lambda's product and marketing teams
• Partner with Lambda account managers to provide an excellent customer experience throughout the sales process
• Work with deep learning engineers and IT professionals from customer's internal teams to identify challenges and bottlenecks
• Design compute solutions that meet customer's needs
• Document designs in various formats including white-papers, wire diagrams, BoMs, and rack elevations
• Build structured and purposeful learning into work routine
• Become an expert in GPU training and inference workloads
• Stay up to date on the latest deep learning compute hardware trends
• Develop high-quality processes and documentation
• Love learning both broadly and deeply
• Skilled communicator who can translate technical concepts into plain English
• Able to craft excellent technical documentation
• Have had a technical role working with computer hardware on a pre-sales or engineering team
• Comfortable executing simple commands in Ubuntu or another Linux distribution
• Measure yourself on results, not effort, and constantly seek to accomplish more by becoming more efficient
• Able to build strong relationships across the entire organization
• Listen carefully and understand deeply
• Nice to have: Experience with GPU distributed training
• Nice to have: Experience with MLOps platforms
• Nice to have: Experience with a parallel file system
• Nice to have: Experience with data center networking equipment

• Generous cash & equity compensation
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan
• Flexible Paid Time Off Plan
• Opportunity to work with top research institutions and major enterprises
• Opportunity to design compute infrastructure for deep learning applications
• Opportunity to develop expertise in GPU training and inference workloads
• Opportunity to stay up to date on the latest deep learning compute hardware trends
• Opportunity to work with a talented and growing team
• Opportunity to contribute to technical feedback and product development
• Opportunity to build strong relationships across the organization
• Opportunity to learn and develop technical skills
• Opportunity to attend top machine learning and graphics conferences
• Equal opportunity employer