Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.
If you'd like to build the world's best deep learning cloud, join us.
What You’ll Do
- Advocate for Lambda’s Products.
- Develop and maintain expertise in Lambda’s cloud products and services
- Demonstrate Lambda’s software and solutions to customers, partners and staff
- Create field enablement materials for technical audience, lead workshops and support product advocacy efforts
- 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 executives to drive customer adoption and ensure successful delivery
- Evaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomes
- Recommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflow
- Document proposal and designs in formats including but not limited to presentations, white-papers, diagrams, Bill of Materials and rack elevations
- Demonstrate expertise on Lambda’s cloud 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 cloud
- 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, up to and including partnering with sales on customer interactions
- Identify as a subject matter expert in the cloud & hyperscale industry
- Have 4+ years of experience as a product lead or as a solutions architect role supporting cloud infrastructure and services
- Have 3+ years of experience designing, deploying and scaling cloud infrastructure
- Have 1+ year of experience working with cloud-based AI/ML services
- 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
Nice to Have
- Experience using deep learning frameworks such as TensorFlow or PyTorch
- Experience deploying generative AI/ML applications
- Experience working with LLM architectures
- Experience designing, implementing and maintaining large-scale HPC infrastructure in cloud and hybrid environments
- Experience working with RESTful API and general service-oriented architecture
Salary Range Information
Based on market data and other factors, the salary range for this position is $194,000-$278,000 OTE. 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
- We offer generous cash & equity compensation
- Investors include Gradient Ventures, Google’s AI-focused venture fund
- 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
- We have a wildly talented team of 300, and growing fast
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends for select roles
- 401k Plan with 2% company match
- 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.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
