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Staff ML Performance Engineer

3 months ago

Austin, United States ZipRecruiter Full time

Job DescriptionJob Description

This role is in the rapidly growing Arm Infrastructure Line of Business. Our Neoverse cores are leading a technology disruption across Cloud, Edge, 5G, and Networking segments. We need a Software Enablement Engineer to bolster the Arm Machine Learning (ML) SW ecosystem to help accelerate this growth.

Responsibilities

  • Develop performance tests on a variety of ML workloads including LLMs, CNNs, Diffusion models, traditional ML, etc.
  • Deliver workload performance analysis reports in written and presentation form
  • Collaborate with external partners to showcase Arm technology
  • Collaborate with internal partners to improve future Arm Infrastructure products
  • Contribute Arm performance improvements to ML open-source projects
  • Develop proof of concepts that are used for performance analysis, demos, How-Tos, and educating the engineering community on Arm technology
  • Support Infrastructure Technical Marketing activities by writing blogs/whitepapers, presenting webinars, conference talks, and conference booth staffing
  • 1-4 weeks of travel throughout the year

Required Skills and Experience

  • Creative debug and problem solving
  • Significant experience in ML: Performance analysis and optimization, building models, fine-tuning, RAG, and model training
  • Experience with Pytorch/TensorFlow and Hugging Face Libraries
  • Must be a good communicator (written and presentations)
  • Teach and mentor others

“Nice To Have” Skills and Experience

  • Performance analysis of SW from the application level, system libraries level, and the kernel level
  • Deeper CPU/SoC architecture concepts like cache coherence, out-of-order pipelining, memory consistency models, interconnect, performance counters, etc.
  • Experience with open-source software project development and community interaction
  • Compilers (GCC, Clang) & Runtimes (JVM, .NET)
  • Experience with like Python, C/C++, etc.
  • Experience with the Linux Kernel (network stack, scheduler, memory subsystem, interrupts, etc.)

In Return:

We are proud to have a set of behaviors that reflect our culture and guide our decisions, defining how we work together. These behaviors are assessed as part of the hiring process:

  • Partner and customer focus
  • Teamwork and communication
  • Creativity and innovation
  • Team and personal development
  • Impact and influence
  • Deliver on your promises

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