Logo
Super Micro Computer

Staff Test Engineer

Super Micro Computer, San Jose, CA


Job Req ID: 25201About 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 global leader in server technologies, Supermicro has been growing extremely fast in many key markets such as Cloud Computing, Big Data, HPC, AI and Storage, etc. To meet the market demand, Supermicro is developing end to end enterprise IT solutions with compute, storage, networking all integrated into full rack or multi-rack level systems. Staff Test Engineer plays an important role in designing, implementing, testing and deploying rack system solutions for data center and enterprise customers.Essential Duties and Responsibilities:Includes the following essential duties and responsibilities (other duties may also be assigned):• 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• Conduct proof of concept design and testing. Establish 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• Lead day-to-day operational support for Cluster, Storage, HPC and Cloud infrastructure. Identify and document hardware and software quality issues. Collaborate with product management and other Engineering teams to integrate enhancements into future products• Write technical documents for test procedures, test reports and troubleshooting procedures related to servers/networks/clusters software and hardware to facilitate knowledge sharing• Deliver on-site deployment services to ensure customer acceptance verification and satisfaction• Write automation tools for cluster deployment and test environmentQualifications:• BS/MS in Electrical Engineering, Computer Engineering or a related field, MS preferred• 12+ years of work-related experience in server/network/storage hardware configuration, testing, debugging and troubleshooting• 12+ years of work-related experience in DevOps or in cloud environments, including but not limited to Docker/Containers and Kubernetes• 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• Familiar with MLPerf Training/Inference benchmark, LLM, HPL-AI or RCCL/NCCL is a plus• CCNA/CCNP, OpenStack, Openshift, Azure or AWS is a plusSalary Range$160,000 - $179,000 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 StatementSupermicro 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.