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 

• Engage directly with customers to deeply understand their challenges, ensuring a personalized and effective support experience
• Dive into complex software and hardware issues, providing timely and efficient solutions
• Craft comprehensive documentation of solutions and contribute to enhancing support procedures, ensuring continuous improvement in service quality
• Identify common customer pain points and collaborate closely with engineering teams to develop innovative solutions, constantly improving the overall customer experience
• Collaborate in the development of new products, contributing your expertise to shape the future of deep learning cloud infrastructure

You

• Proven experience in clustered or HPC environments, showcasing your mastery in Linux administration
• Proficiency in Bash or Python scripting, enabling you to automate tasks and streamline operations
• Excellent written and oral communication skills, ensuring effective interaction with both technical and non-technical stakeholders
• Hands-on experience in private or hybrid cloud environments, such as Azure, GCP, AWS, OCI, or OpenStack
• Proven professional experience administering Kubernetes clusters

Nice to Have 

• Familiarity with infrastructure-as-code tools (Terraform, Puppet, Ansible, Chef, etc.)
• Experience with high throughput networking technologies, RDMA, NCCL, GPUDirect, SLURM, or distributed GPU training systems
• Experience with ML/AI/deep learning and a solid understanding of the hardware, software, and tools used in this domain
• Experience with NVIDIA data center GPUs and distributed or parallel file systems

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 200, and growing fast
• Flexible Paid Time Off Plan that we all actually use
• Benefits and Retirement offered through Employer or Record services and will vary depending on the requirements for the country of residence

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.