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    System Engineer - San Jose, United States - Super Micro Computer

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    Description

    Job Req ID: 23069


    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 System 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:


    Includes the following essential duties and responsibilities (other duties may also be assigned):


    • Perform Cluster/Rack level testing and software deployment for local/onsite customers
    • Responsible for Cloud, Storage, and AI/Deep Learning benchmarks and testing
    • Responsible for proof-of-concepts (PoCs) setup and network troubleshooting
    • Perform the testing for AI applications using ML/DL frameworks such as MLPerf, LLM, and RAG
    • Conduct functionality testing, compatibility testing, performance testing, stress, and reliability testing
    • Report hardware and software quality issues and work with other teams to solve the issues
    • Document and analyze test data and test logs, write a test report
    • Contribute to the development of test utilities and test script automation
    • Support internal and external quality issues and drive issue resolution


    Qualifications:



    • BS / MS in Electrical Engineering, Computer Engineering or Computer Science
    • 5+ years of work-related experience in Deep Learning and Machine Learning
    • 5+ 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
    • Familiar with Openstack, Openshift, Azure or AWS
    • 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 like CUDA, oneAPI, ROCm is a plus
    • Experience with server/network hardware debugging and troubleshooting is a plus
    Physical requirements:


    • Able to stand, walk, sit, talk, listen, crouch or crawl, reach with hands and arms
    • Able to lift, carry, push and pull up to 50 pounds
    • Able to work in noisy, cold and hot environment such as lab, production line and data center

    Salary Range

    $82,000 - $133,000

    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.


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