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Super Micro Computer

Modular, energy-efficient server hardware solutions

Senior System Engineer

Platform EngineeringUpdated on Nov 14
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Electrical Engineering, Computer Engineering, or a related field is required; a Master of Science is preferred.
  • At least 8 years of work-related experience configuring, testing, debugging, and troubleshooting server, network, and storage hardware.
  • At least 8 years of work-related experience in DevOps or cloud environments, including Docker/containers and Kubernetes.
  • Experience with leading AI/ML frameworks such as PyTorch and TensorFlow.
  • Familiarity with the TCP/IP protocol stack, UDP, IPv4/IPv6, DNS, DHCP, and other application protocols.
  • Familiarity with HPC, AI, or cloud benchmark tests and networking architecture.
  • Programming skills in Python and shell scripting are required.

Responsibilities

  • Deploy rack/cluster infrastructure and perform system-level functionality, compatibility, performance, stress, and reliability testing on GPUs, CPU processors, networking, and storage using proprietary in-house tools.
  • Conduct proof-of-concept design and testing; develop expertise in HPC/AI applications and benchmarks; optimize benchmarks by fine-tuning system settings and optimizing OS/network configurations; and build processes and procedures for HPC/AI solutions.
  • Lead day-to-day operational support for cluster, storage, HPC, and cloud infrastructure; identify and document hardware and software quality issues; and collaborate with product management and Engineering teams to integrate enhancements into future products.
  • Write technical documents for test procedures, test reports, and troubleshooting procedures related to server, network, and cluster software and hardware.
  • Deliver on-site deployment services to support customer acceptance verification and satisfaction.
  • Write automation tools for cluster deployment and test environments.

Desired Qualifications

  • Familiarity with MLPerf Training/Inference benchmarks, LLM, HPL-AI, or RCCL/NCCL.
  • CCNA, OpenStack, OpenShift, Azure, or AWS experience.

About the Company

Super Micro Computer

Modular, energy-efficient server hardware solutions

Super Micro Computer designs and sells high-performance, energy-efficient server hardware and related software and services for data centers, cloud, AI, 5G, and edge computing. Its modular Building Block Solutions let customers assemble configurable servers, storage, motherboards, and chassis from common components to match workloads. The company emphasizes green computing and power efficiency to reduce energy use in large-scale deployments and enable faster procurement. Its goal is to help customers deploy reliable computing infrastructure quickly through direct sales and an extensive partner network of distributors and value-added resellers.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
1993

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