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Verification Engineer

Fractile· Silicon
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Hybrid (London/Bristol)full-timePosted 3mo ago

About the role

Silicon Verification Engineer role focused on building world-class ML/AI IC products with a software-minded approach to hardware verification, collaborating across modelling, system architecture, and RTL design to ensure high-quality RTL releases for data centre scale-out applications. Based in Bristol or London.

Responsibilities

  • Work closely with modelling, system architecture, and RTL design to ensure RTL releases meet high standards of functional quality
  • Contribute to discussions around specification, architecture, and the workflows that connect them
  • Participate in pre-silicon RTL verification planning and execution (desirable)
  • Build and contribute to testbenches, stimulus creation, and functional modelling of hardware blocks (desirable)
  • Create checkers and define/close coverage (desirable)
  • Engage in architecture discussions and contribute to open collaboration between hardware and software teams (desirable)
  • Own and drive your work with rapid iteration and full-stack engagement across hardware, software, silicon, and modelling teams

Qualifications

  • Strong software skills (Python or C++)
  • Understanding of digital hardware concepts
  • Ability to read and debug RTL in SystemVerilog
  • Familiarity with debugging waveforms
  • Candidates with a UVM or strong software background encouraged to apply (even without RTL background)

Skills

Required:PythonSystemVerilogWaveform debugging
Nice to have:UVM

Benefits

  • Private Medical
  • Dental and Vision
  • Contributory Pension
  • 25 Days holiday plus bank holidays
  • Life/Critical Illness Insurance
Last updated Jul 23, 2026. Interested? Apply on the company site.
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About Fractile

Radically Accelerate Frontier Model Inference

Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.

frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation

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