Red Hat - Raleigh, NC

posted 5 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 be responsible for developing and implementing software for RHEL AI that leverages hardware accelerators such as GPUs and AIUs. Additionally, 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 is key in this role, as you will work closely with product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers. 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. Participation in code reviews and providing technical mentorship to junior engineers will also be part of your responsibilities. Staying up-to-date on the latest advancements in AI frameworks, hardware accelerators, and RHEL AI is essential to ensure the success of the product.

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.
  • 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

  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account - high deductible medical plan
  • Retirement 401(k) with employer match
  • Paid time off and holidays
  • Paid parental leave plans for all new parents
  • Leave benefits including disability, paid family medical leave, and paid military leave
  • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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