ML Performance Architect

London (Greater), England


Competitive Salary, Stock, Hybrid Working


ML Processor Architect

London, Greater London, UK (Hybrid, minimum 2 days on-site per week)

IC Resources is seeking an ML Processor Architect to join our client's team in London. The successful candidate will play a pivotal role in developing innovative processor technologies tailored for optimising the performance of large-scale AI models.

Primary Responsibilities:
  • Performance Evaluation: Assess the performance of advanced AI workloads, including characterisation and mapping to optimise hardware efficiency.
  • Architectural Design Exploration: Conduct design space exploration to develop new architectural features aimed at enhancing next-generation hardware.
  • Simulation Development: Create simulations of network hierarchies and assemble multi-core architectures to support the design of novel processor technologies.
Essential Experience:
  • Educational Background: MSc or PhD with a minimum of 5 years of industry experience in the development of performance architectures for NPUs, GPUs, CPUs, or AI accelerators.
  • Technical Expertise: Extensive experience in machine learning model training, quantization, sparsity, and preprocessing.
  • Co-Design Skills: Proficiency in software-hardware co-design to ensure optimal integration and performance.
  • Programming Skills: Expertise in PyTorch, TensorFlow, NCCL, OpenMPI, with strong skills in C/C++ and Python.
  • Hardware Description Languages: Competence in Verilog and RTL for hardware design and simulation.
Desired Experience:
  • Advanced Model Handling: Hands-on experience with training and optimising large-scale machine learning models.
  • Performance Optimisation: In-depth knowledge of AI accelerators and methods to enhance computational efficiency.
  • Software Tools: Familiarity with various software tools and frameworks used for model development and hardware integration.
What’s On Offer:
  • Competitive Compensation: A six-figure salary is expected for the successful candidate, reflecting the high level of expertise required.
  • Flexible Working: Hybrid working model with at least 2 days on-site per week, allowing for a balanced work-life dynamic.
  • Career Growth: An opportunity to work on groundbreaking technology in a supportive and innovative environment.
If you are interested in this position, please apply now for immediate consideration. This is a fantastic opportunity for an MSc or PhD-educated ML Processor Architect eager to contribute to the development of state-of-the-art processor technologies.
Apply now