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Founding AI Accelerator (ASIC Engineer)

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Remote

Founding AI Accelerator (ASIC Engineer)

SR2 | Socially Responsible Recruitment | Certified B Corporation™

Founding AI Accelerator (ASIC Engineer)

Skills

Deep LearningMachine LearningAI

6 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Remote

Published on:

16 October 2026

What they need


Founding AI Accelerator / ASIC Engineer

London | Up to £160,000+ (DOE) | Equity, Benefits

I'm supporting a startup business focused on semiconductors.

This is an opportunity to join at founding-team stage, influence the hardware architecture and contribute to getting groundbreaking technology into real silicon.

What you'll be doing

  • Designing novel ASIC and AI accelerator architectures for LLM inference.
  • Exploring 1-bit, 2-bit, binary and ternary quantisation techniques.
  • Developing efficient compute structures, lookup-table implementations and model-specific hardware.
  • Working across chip architecture, RTL design, memory systems and hardware optimisation.
  • Exploring hardware/software co-design to improve inference performance and energy efficiency.
  • Contributing to the journey from architectural research and prototyping through to tapeout.

What we're looking for

  • Experience in ASIC design, digital IC design, AI accelerators or computer architecture.
  • Ideally, previous involvement in a successful silicon tapeout.
  • Knowledge of low-precision arithmetic, quantisation or efficient neural-network inference.
  • Experience with Verilog, SystemVerilog, RTL development or related hardware design tools.
  • An understanding of hardware trade-offs involving throughput, latency, power, area and memory.
  • A strong interest in novel approaches to implementing LLMs in silicon.

Especially interesting:

  • Engineers who have designed dedicated LLM or neural-network accelerators.
  • Researchers who have published work on low-bit neural networks, quantised LLMs or AI hardware.
  • Candidates who can connect ML research with practical silicon implementation.
  • Exceptional graduates or early-career researchers with highly relevant projects, publications or FPGA/ASIC experience.

What's on offer

  • Competitive salary, dependent on experience.
  • Meaningful equity potential, generous benefits and bonus opportunity.
  • Direct access to the founding team and significant technical ownership.
  • A technically ambitious, well-funded startup environment.

Please apply directly here or drop your CV over to [email protected]

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