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Senior Server Engineer
2 months ago
As a global leader in server technologies, Supermicro is seeking a highly skilled Senior Server Engineer to join our team. This role plays a critical part in designing, implementing, testing, and deploying rack system solutions for data center and enterprise customers.
Key Responsibilities:- Deploy and Test Infrastructure: Deploy rack/cluster infrastructure and execute comprehensive system-level testing on the latest GPUs, CPU processors, network, and storage, encompassing functionality, compatibility, performance, stress, and reliability testing, leveraging proprietary in-house tools.
- Proof of Concept Design and Testing: Conduct proof of concept design and testing, establishing expertise in HPC/AI applications and benchmarks, providing optimized benchmarks for HPC/AI applications by fine-tuning system settings, optimizing OS/network configurations, and demonstrating strong problem-solving skills and building robust processes and procedures for HPC/AI solutions.
- Operational Support: Lead day-to-day operational support for cluster, storage, HPC, and cloud infrastructure, identifying and documenting hardware and software quality issues, collaborating with product management and other engineering teams to integrate enhancements into future products.
- Technical Documentation: Write technical documents for test procedures, test reports, and troubleshooting procedures related to servers/networks/clusters software and hardware to facilitate knowledge sharing.
- On-Site Deployment: Deliver on-site deployment services to ensure customer acceptance verification and satisfaction.
- Automation Tools: Write automation tools for cluster deployment and test environment.
- Education: BS/MS in Electrical Engineering, Computer Engineering, or a related field, MS preferred.
- Experience: 12+ years of work-related experience in server/network/storage hardware configuration, testing, debugging, and troubleshooting, and 12+ years of work-related experience in DevOps or in cloud environments, including but not limited to Docker/Containers and Kubernetes.
- Skills: Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, etc., familiar with TCP/IP protocol stack, UDP, IPv4-IPv6, DNS, DHCP, and other application protocols, familiar with HPC, AI, or cloud benchmark tests, networking architecture, excellent programming skills in Python and shell scripting, strong communication skills, and strong sense of teamwork and good team player.
- Preferred Qualifications: Familiar with MLPerf Training/Inference benchmark, LLM, HPL-AI, or RCCL/NCCL, CCNA/CCNP, OpenStack, Openshift, Azure, or AWS.
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.
