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Supermicro develops high-performance computing solutions centered on server technology and advanced infrastructure for enterprise applications. Its work spans the computing sector, combining hardware innovation with the operational expertise needed to support demanding technology environments. For professionals exploring roles in server engineering, enterprise computing, manufacturing, logistics, consulting, and related functions, Supermicro offers opportunities to contribute to products and systems used in modern data infrastructure.
Senior System Engineer, HPC and AI Servers — Supermicro
Design, test, and deploy rack-scale HPC and AI server solutions for Supermicro customers. Support data center, cloud, storage, and networking environments.
United States
California$137,000 – $156,000 / year
On-siteFull-timeSeniorEnglish RequiredSystems EngineerDescription
- Deploy rack and cluster infrastructure, then run system-level tests across GPUs, CPUs, networking, and storage.
- Use in-house tools to test functionality, compatibility, performance, stress tolerance, and reliability.
- Design and test proof-of-concept solutions.
- Build expertise in HPC and AI applications and their benchmarks.
- Tune systems and optimize operating system and network configurations to improve HPC and AI benchmark results.
- Oversee daily operational support for cluster, storage, HPC, and cloud infrastructure.
- Identify and document hardware and software quality issues.
- Work with product management and engineering teams to bring improvements into future products.
- Prepare test procedures, reports, and troubleshooting documentation.
- Provide on-site deployments and verify customer acceptance and satisfaction.
- Create automation tools for cluster deployment and test environments.
Requirements
- Bachelor’s or master’s degree in electrical engineering, computer engineering, or a related field; a master’s degree is preferred.
- At least eight years of relevant experience configuring, testing, debugging, and troubleshooting server, network, or storage hardware.
- At least eight years of relevant experience in DevOps or cloud environments, including Docker or containers and Kubernetes.
- Experience with leading AI and machine learning frameworks, such as PyTorch and TensorFlow.
- Familiarity with TCP/IP, UDP, IPv4 and IPv6, DNS, DHCP, and other application protocols.
- Familiarity with HPC, AI, or cloud benchmark testing and network architecture.
- Strong programming skills in Python and shell scripting.
- Strong communication and teamwork skills.
- Familiarity with MLPerf Training or Inference benchmarks, LLMs, HPL-AI, or RCCL/NCCL is a plus.
- CCNA certification or experience with OpenStack, OpenShift, Azure, or AWS is a plus.
Benefits
- Comprehensive benefits package.
- May be eligible for bonus programs.
- May be eligible for equity award programs.
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