Supermicro razvija visoko zmogljive računalniške rešitve, osredotočene na strežniško tehnologijo in napredno infrastrukturo za poslovne aplikacije. Njeno delo zajema področje računalništva ter združuje inovacije na področju strojne opreme z operativnim strokovnim znanjem, potrebnim za podporo zahtevnim tehnološkim okoljem. Strokovnjaki, ki razmišljajo o vlogah na področju strežniškega inženirstva, poslovnega računalništva, proizvodnje, logistike, svetovanja in povezanih funkcij, lahko v podjetju Supermicro prispevajo k izdelkom in sistemom, ki se uporabljajo v sodobni podatkovni infrastrukturi.
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.
Združene države Amerike
Kalifornija137.000 $ – 156.000 $ / leto
Na lokacijiPolni delovni časSeniorZahtevani Jezik: angleščinaSistemski inženirOpis
- 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.
Zahteve
- 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.
Ugodnosti
- Comprehensive benefits package.
- May be eligible for bonus programs.
- May be eligible for equity award programs.