AI Cloud Acceleration Engineer

2 weeks ago

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

We're a cutting-edge technology company revolutionizing AI computing by offering advanced cloud services, highlighted by our deployment of AMD Instinct MI300x GPUs. Our mission is to accelerate AI innovation by removing hardware limitations and ensuring scalable, efficient solutions for AI workloads.

Job Overview:

We're seeking a driven AI Cloud Acceleration Engineer with expertise in training / fine-tuning deep learning models, extensive knowledge of open-source AI libraries, experience in kernel development, and a passion for pushing the boundaries of GPU acceleration. In this pivotal role, you will empower our customers by supporting cutting-edge tools and techniques for fine-tuning and training deep learning models on AMD GPUs. Your work will directly contribute to the growth of the ROCm ecosystem and the advancement of PyTorch on AMD hardware, enabling users to harness the full potential of our AI cloud services.

Key Responsibilities:
  • Contribute to open-source deep learning libraries like PyTorch, advocating for and implementing ROCm support and enhancements.
  • Develop in-house frameworks and tools that simplify and streamline model fine-tuning and training for our customers.
  • Debug and identify compatibility issues with libraries, and collaborate with internal and external teams to resolve them.
  • Design and develop optimization strategies to accelerate fine-tuning and training of deep learning models on AMD GPUs.
  • Conduct in-depth research and performance analysis to identify and address bottlenecks in the AMD GPU acceleration pipeline.
  • Stay at the forefront of advancements in deep learning, GPU acceleration, and model optimization techniques, particularly those related to ROCm and AMD hardware.
Requirements:

To be successful in this role, you should have:

  • The equivalent of a Bachelor's Degree in Computer Science, Artificial Intelligence, or a related field.
  • 3+ years of hands-on experience with PyTorch training and fine-tuning deep learning models.
  • A strong 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 both technical and non-technical audiences.
Benefits:

We offer a competitive salary and benefits package, including:
  • A base salary of $150,000 per year.
  • 100% paid medical, dental, and vision benefits for employees.
  • Life and voluntary supplemental life insurance.
  • Short-term disability insurance.
  • Flexible spending account.
  • 401(k) plan.
  • Flexible PTO.
  • Paid holidays.
  • Parental leave.
  • Mental health benefits through Spring Health.

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