Network Engineer

Supermicro•San Jose, CA

32d

About The Position

As a Network Engineer, you’ll manage the rolling out and maintaining business critical applications and services for Supermicro. You are also responsible for resolving escalated service issues. You will help drive the technical development and with excellent communication skills.

Requirements

BS/MS in Electrical Engineering, Computer Engineering or Computer Science
5+ years of work-related experience in Deep Learning and Machine Learning
5+ years of Linux/networking debugging/testing or relevant experience preferred
Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc.
Experience with DevOps or in cloud environments, including but not limited to Docker/Containers and Kubernetes
Hands-on experience with workload/scheduler Managers (Slurm) for rack/cluster
Familiar with MLPerf Training/Inference benchmark, LLM, HPL-AI or RCCL/NCCL
Programming experience with windows and Linux shell scripting
Strong sense of teamwork and good team player, strong communication skills

Nice To Haves

Familiar with Intel/AMD/NVIDIA development tool kits such as CUDA, oneAPI, ROCm is a plus
Experience with server/network hardware debugging and troubleshooting is a plus
CCNA, OpenStack, OpenShift, Azure or AWS is a plus

Responsibilities

Execute comprehensive system-level rack tests on latest NVidia and AMD GPUs, ARM-based, Intel Xeon, and AMD EPYC processors, encompassing functionality, compatibility, performance, stress, and reliability testing, leveraging proprietary in-house tools.
Establish knowledge in HPC/AI applications and benchmarks, delivering impactful training sessions to customers and partners, while addressing complex customer support issues, demonstrating innovative problem-solving skills and building robust processes and procedures for HPC/AI solutions.
Conduct proof of concept design and testing, providing optimized benchmarks for HPC/AI applications in a timely manner. Fine-tune BIOS settings, optimize OS/network configurations, and develop diverse simulation configurations to enhance efficiency across various workloads.
Deliver on-site deployment services, ensuring customer acceptance verification and providing post-level 1&2 support. Create and maintain technical documentation, including technical notes, blogs, and diagrams, to facilitate knowledge dissemination.
Identify and document hardware and software quality issues and collaborate with Product Management and other Engineering teams to integrate customer feedback into future product enhancements.
Proactively engage in HPC roadmap development, planning software and hardware upgrades to sustain exceptional HPC infrastructure performance.
Document and analyze test plans, reports, logs, and actively contribute to the development of test utilities and automation scripts to streamline testing processes.