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Machine Learning Processor Architect

TN United Kingdom

Oxford

Remote

GBP 60,000 - 100,000

Full time

9 days ago

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Job summary

An intriguing opportunity awaits a Machine Learning Processor Architect at a forward-thinking start-up focused on revolutionary processor technology. As a key founding member, you will engage in designing and modeling innovative architectures that push the boundaries of AI performance. This role offers the chance to work with cutting-edge technology in a dynamic environment, where your contributions will significantly impact the future of hardware design. With flexibility for remote work and the potential for stock options, this position is perfect for those eager to shape the future of machine learning and AI.

Benefits

Stock Options
Remote Work Flexibility

Qualifications

  • Understanding of computer architecture and hardware-software co-design.
  • Experience with performance architecture of GPUs and AI accelerators.

Responsibilities

  • Designing and modeling new processor architecture for AI workloads.
  • Evaluating performance of next-generation hardware.

Skills

Computer Architecture
Hardware-Software Co-Design
Performance Architecture of GPUs/AI Accelerators
Deep Learning Frameworks (PyTorch, TensorFlow)

Job description

Job Description:

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford; however, remote working is also possible.

As a Machine Learning Processor Architect, you will join as one of the early-stage founding members of the company, which is still less than ten people. You will be responsible for developing a brand-new processor architecture that has never been done before. Your tasks will include designing, modeling, and driving new architectural features for next-generation hardware, as well as evaluating the performance of cutting-edge AI workloads.

Requirements:
  • Understanding of computer architecture and the nuances of hardware-software co-design.
  • Experience with performance architecture of GPUs/AI Accelerators.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.

The company is open to candidates at various experience levels, provided they have the appropriate background. Visa sponsorship can be provided where needed. An excellent salary, plus stock options, are on offer. For more details, contact Caroline Pye.

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