AI System Architect

IC Resources Recruitment; Oxford; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Flexible working

AI silicon design

Job summary

IC Resources Recruitment in Oxford is seeking an AI System Architect to design and architect systems or chips for ML training and inference, focusing on performance and energy efficiency. You will conduct performance modeling, demonstrate fluency in hardware-software integration, and influence product direction through data-driven specifications.

This is a full-time role in a pioneering startup developing an AI accelerator for data centers, offering equity options and flexible working

Qualifications

• Hands-on experience with AI/ML models and architectures.
• Experience in AI hardware startups or major AI hardware teams.
• Familiarity with compiler stacks and their impact on hardware design.

Responsibilities

• Design and architect systems or chips for ML training and inference.
• Perform performance modeling (roofline, bandwidth, cycle estimation).
• Demonstrate integration of hardware and software, ISA design and runtimes.
• Influence product direction through data-driven specifications.

Skills

AI/ML expertise

System architecture design

Performance modeling

Hardware-software integration

Tools

MLIR

XLA

TVM

Triton

Job description

AI System Architect Overview

Company Name: IC Resources Recruitment

Job Role: AI System Architect

Qualifications: Not Specified

Category: IT Jobs

Job Type: Full Time

Location: Oxford

An exciting opportunity has arisen for an AI System Architect to join a pioneering startup in Oxfordshire, England, that is transforming the landscape of computing through the development of an AI accelerator. This innovative company is focused on creating technology that enhances the speed and efficiency of data center computations while significantly reducing energy consumption.

Key Responsibilities:

• Design and architect systems or chips specifically for machine learning training and inference.
• Conduct performance modeling including roofline analysis, bandwidth modeling, and cycle-level estimation.
• Demonstrate fluency in hardware-software integration, including instruction set architecture (ISA) design, compiler interfaces, runtimes, and datapath microarchitecture.
• Influence product direction through the creation of strong written specifications and data-driven decision-making.

Requirements:

• Extensive expertise in artificial intelligence and machine learning, particularly with transformers, convolutional neural networks (CNNs), and recommender systems.
• Proven experience in the AI hardware industry, particularly with AI-chip startups or major AI-hardware teams such as TPU, MTIA, Trainium, or Dojo.
• Familiarity with compiler stacks including MLIR, XLA, TVM, and Triton, and understanding how these influence hardware design choices.

Benefits:

• Competitive salary and equity options.
• Flexible working arrangements to support work-life balance.
• Opportunity to work on cutting-edge problems in AI-driven silicon design.
• Immediate impact on product direction from the start.

Degree Requirement: Not Specified

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