GPU Accelerated Computing Expert

3 days ago

Sens, Bourgogne-Franche-Comté, United States Tensorwave, Inc. Full time

About Tensorwave Inc.

We are pushing the boundaries of AI computing by leveraging the power of AMD Instinct MI300x GPUs. Our aim is to accelerate AI innovation by overcoming hardware constraints and delivering scalable solutions for AI workloads.

About the role:

Tensorwave is seeking a seasoned expert with a proven track record in training and fine-tuning deep learning models using PyTorch. As a critical member of our team, you will drive the growth of the ROCm ecosystem and advance PyTorch on AMD hardware, empowering users to harness the full potential of our AI cloud services.

Main Responsibilities:

  • Contribute to the development of open-source deep learning libraries like PyTorch, focusing on ROCm support and enhancements.
  • Create in-house frameworks and tools that simplify and streamline model fine-tuning and training for our customers.
  • Identify and resolve compatibility issues with libraries, collaborating closely with internal and external teams.
  • Design and develop optimization strategies to accelerate fine-tuning and training of deep learning models on AMD GPUs.
  • Conduct thorough research and analysis to pinpoint bottlenecks in the AMD GPU acceleration pipeline and propose solutions.
  • Stay at the forefront of advancements in deep learning, GPU acceleration, and model optimization techniques, focusing on ROCm and AMD hardware.

Essential Skills & Qualifications:

  • Evidence of a Bachelor's Degree in Computer Science, Artificial Intelligence, or a related field.
  • At least 3 years of hands-on experience with PyTorch training and fine-tuning deep learning models.
  • A solid understanding of GPU architecture, memory management, and optimization techniques.
  • Proficiency in Python and C/C++ for implementing high-performance deep learning models.
  • Extensive experience with LLM / transformer architecture and a deep understanding of its internals.
  • Experience with GPU kernel development (CUDA or ROCm) for deep learning applications.
  • Excellent communication and collaboration skills, with the ability to effectively engage with technical and non-technical stakeholders.

Estimated Salary: $160,000 - $220,000 per year, depending on location and experience.

Benefits:

  • A competitive salary and benefits package.
  • 100% paid Medical, Dental and Vision Benefits for employees.
  • Group Life Insurance and Voluntary Supplemental Life Insurance.
  • Short-Term Disability Insurance.
  • Flexible Spending Account.
  • 401(k) Plan.
  • Generous PTO Policy.
  • Paid Holidays.
  • Parental Leave.
  • Mental Health Support through Spring Health.

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