Job description

Job Req ID: 30340 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: As a Sr. Network Engineer, you’ll be the go-to person to roll out and maintain business critical applications and services for Supermicro. You are also responsible for resolving escalated service issues, coaching other engineers to resolutions, engineering and implementing complex projects. You will be a person who is independent with leadership to drive the technical development and with excellent communication skills. Essential Duties and Responsibilities: Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned): • 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 expertise 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. Qualifications: • BS/MS in Electrical Engineering, Computer Engineering or Computer Science • 8+ years of work-related experience in Deep Learning and Machine Learning • 8+ 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 • 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 Salary Range $140,000 - $170,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Requirements

Must-haves

Job Req ID: 30340
Includes the following essential duties and responsibilities (other duties may also be assigned):
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.
BS/MS in Electrical Engineering, Computer Engineering or Computer Science
8+ years of work-related experience in Deep Learning and Machine Learning
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
$140,000 - $170,000

Nice-to-haves

8+ years of Linux/networking debugging/testing or relevant experience preferred
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

Application prep

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Keywords to mirror

goaimachine learningmldockerkubernetesllmazureaws

Platform: successfactors
Effort: medium