Cloud Support Engineer I

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI 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 and HPC infrastructure.

• Participate in major incidents and major customer alerts as the communication point to the customer..

You

• 1+ years in cloud support operations or systems engineering.

• Strong experience with public cloud platforms (AWS, Azure, GCP) or GPU cloud providers.

• Very strong understanding and experience with Linux (Ubuntu) system administration and Python, including Python venv, Anaconda, and other python virtual environments.

• Proficiency with monitoring/logging tools (Prometheus, Grafana, Datadog).

• Strong skills in log analysis, debugging kernel-level issues, and performance profiling.

• Experience with virtualization (KVM, VMware, Hyper-V) and container (Docker, Kubernetes) technologies.

• Knowledge of TCP/IP, VPN, and firewalls in cloud environments.

Nice to Have

• Proven experience in HPC environments, showcasing your expertise in Linux cluster administration

• Experience with Storage providers and technologies (VAST, CEPH, Lustre, Weka, DDN)

• Professional experience administering Kubernetes in cluster environments.

• Familiarity with infrastructure-as-code tools (Terraform, Puppet, Ansible, Chef, etc.)

• Knowledge of CUDA, NCCL, NVLink, MIG, GPUDirect RDMA.

• Experience with high throughput networking technologies(IB/RoCE)

• Knowledge of distributed AI/ML or HPC workloads.

• Nvidia and Infiniband certifications.

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. 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, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• 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

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.