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 Do

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

You 

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

Nice to Have

Experience using deep learning frameworks such as TensorFlow or PyTorch

Experience designing, implementing and maintaining large-scale HPC infrastructure

Experience in operations management or Six Sigma methodology

Experience 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 Lambda

Founded in 2012, ~350 employees (2024) and growing fast

We offer generous cash & equity compensation

Our 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 profitability

Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

Health, dental, and vision coverage for you and your dependents

Wellness and Commuter stipends for select roles

401k Plan with 2% company match (USA employees)

Flexible Paid Time Off Plan that we all actually use

A 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 Employer

Lambda 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.