Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. 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
Be a first point of contact for all incoming technical support questions
Troubleshoot software and hardware issues for customers and provide solutions
Document solutions to common problems
Collaborate in the development of new products
Provide feedback to product engineering teams
You
Linux administration experience in clustered or HPC environments
Experience with high throughput networking technologies such as Infiniband, RoCE, iWarp etc.
Shell or Python scripting proficiency
Excellent written and oral communication skills
Knowledge of data center hardware and out of band management tools
Experience working in private or hybrid cloud environments
Experience with HPC/AI technologies such as:
SFP+ fiber, InfiniBand (IB) / 100 GbE network fabric experience
Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environment
SLURM, Kubernetes, or other job scheduling systems
Distributed GPU training systems and third-party ML Ops platforms
Nice to Have
Experience with ML / AI / Deep Learning
Experience with NVIDIA data center GPUs
Experience with parallel file systems
Experience designing HPC clusters
Direct experience with HPC clusters for internal or external customers
Understanding of the hardware, software, and tools used for deep learning
Experience working with the technologies that underpin our business such as: Deep Learning frameworks, GPU acceleration, virtualization, and cloud computing
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 150, and growing fast
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends
401k Plan
Flexible Paid Time Off Plan that we all actually use
Salary Range Information
Based on market data and other factors, the salary range for this position is ₱950,000-₱1,500,000. 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.
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.
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