Red Hat - Raleigh, NC

posted about 2 months ago

Full-time - Mid Level
Remote - Raleigh, NC
Professional, Scientific, and Technical Services

About the position

The Red Hat Ecosystems Engineering group is seeking a Senior Integration Engineer to join our growing team in Israel. In this role, you will work with a diverse team of highly motivated engineers on designing, implementing, and productizing a new RHEL AI product. This product focuses on the deep integration of the AI stack, hardware accelerators, and collaboration with leading OEMs and CCSPs. You will also be working closely with product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers. As a Senior Integration Engineer, your primary responsibilities will include developing and implementing software for RHEL AI that leverages hardware accelerators such as GPUs and AIUs. You will package RHEL AI components for distribution on Red Hat platforms and drive the certification of RHEL AI with relevant hardware and software vendors. Collaboration with hardware and software engineers will be essential to ensure optimal integration between RHEL AI and accelerators. You will also contribute to the design and implementation of new features for RHEL AI, perform performance analysis and optimization of AI workloads on RHEL with accelerators, and write high-quality, maintainable, and efficient code. Additionally, you will participate in code reviews and provide technical mentorship to junior engineers. Staying up-to-date on the latest advancements in AI frameworks, hardware accelerators, and RHEL AI will be crucial for your success in this role.

Responsibilities

  • Develop and implement software for RHEL AI that leverages hardware accelerators (e.g., GPUs, AIUs)
  • Package RHEL AI components for distribution on Red Hat platforms
  • Drive the certification of RHEL AI with relevant hardware and software vendors
  • Collaborate with hardware and software engineers to ensure optimal integration between RHEL AI and accelerators
  • Contribute to the design and implementation of new features for RHEL AI
  • Perform performance analysis and optimization of AI workloads on RHEL with accelerators
  • Write high-quality, maintainable, and efficient code
  • Participate in code reviews and provide technical mentorship to junior engineers
  • Stay up-to-date on the latest advancements in AI frameworks, hardware accelerators, and RHEL AI

Requirements

  • Strong experience with RHEL or other Linux distributions
  • Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads is a plus
  • Ability to work Hybrid in Boston MA, Lowell MA or Raleigh NC
  • Experience with a container ecosystem like Docker, Kubernetes, or Red Hat OpenShift
  • Excellent problem-solving and debugging skills
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a team
  • Proficient written and verbal communication skills in English

Nice-to-haves

  • Knowledge of AI frameworks (e.g., TensorFlow, PyTorch)
  • Background in DevOps or site reliability engineering (SRE)
  • Experience with performance analysis tools
  • Experience with Linux kernel development

Benefits

  • Bonus eligibility
  • Commission opportunities
  • Equity options
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