Network Systems Engineer

Supermicro•San Jose, CA

About The Position

As a Network Engineer, you will be assisting roll out and maintain business critical applications and services for Supermicro. You will work with senior engineer to resolve escalated service issues, work with other engineers to resolutions, engineering and implementing complex projects.

Requirements

BS/MS in Electrical Engineering, Computer Engineering or Computer Science
1+ years of work-related experience in Deep Learning and Machine Learning
Familiar with Linux/networking debugging/testing or relevant experience preferred
Familiar with data center, enterprise, or telecommunication working on routing and switching networking technologies.
Knowledge 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
Relevant certifications such as CCIE, JNCIE, or Arista ACE are highly desirable
Experience with server/network hardware debugging and troubleshooting
CCNA, OpenStack, OpenShift, Azure or AWS

Responsibilities

Execute 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.
Familiar with HPC/AI applications and benchmarks, address customer support issues, demonstrating innovative problem-solving skills and building robust processes and procedures for HPC/AI solutions.
May work on 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.