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AI Platform Applications Engineer – Principal

AI Platform Applications Engineer – Principal

Companyd-Matrix
LocationSanta Clara, CA, USA
Salary$161000 – $260000
TypeFull-Time
DegreesBachelor’s
Experience LevelExpert or higher

Requirements

  • BS Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science with 15+ years of relevant experience in customer engineering and field support for enterprise datacenter products
  • Hands on experience with x86 server bring up and deployment with hardware accelerators
  • Have strong analytical skills and past experience in reviewing enterprise system design
  • Professional-level interpersonal skills, including ability to adjust your communication to the technical level of the audience.

Responsibilities

  • Provide customer support, including but not limited to guiding customers through the process of using tools and/or platforms, timely and accurate responses to customer queries, root cause analysis of customer issues, reproducing & resolving the same, escalating unresolved issues and providing timely workarounds.
  • Perform system design reviews for data center applications to ensure partner designs meet our guidelines.
  • Work with OEM and ODM partners on system integration related to thermal, mechanical, electrical, PCIe and/or other interconnect interfaces including out-of-band management services.
  • Understand system design and datacenter infrastructure requirements for AI workloads, develop reference configurations and technical guides.
  • Conduct the installation, configuration and bring-up of server hardware. Perform functional and performance validation testing.
  • Create product specifications, hardware design guides, application notes, and other supporting technical collateral.

Preferred Qualifications

  • Hands-on understanding of AI/ML infrastructure and hardware accelerators
  • Automation Experience with Linux or Windows shell scripting, Python or Go
  • Outstanding communication and presentation skills
  • Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc. and container orchestration platforms such as Kubernetes