I'm working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step‑change in capability.
This is a high‑impact opportunity for a Machine Learning Researcher who wants high-autonomy and for their research to matter in silicon.
What they’re looking for:
Degree in Physics/Engineering/Electronics and a PhD in Machine Learning
Strong Python + PyTorch/JAX skills
Publication record in ML or EDA venues
Ability to move between research and implementation
Clear communication across ML and circuit‑design audiences
Experience modelling dynamic systems
Familiarity with SPICE data and analogue circuits
Knowledge of behavioural modelling languages or EDA tools
Startup or applied‑research experience
Why consider it:
Competitive salary, bonus, and meaningful equity
Flexible remote/hybrid working with London/Cambridge/Oxford bases
Direct access to real customers testing your models on real silicon
Small, senior team where your work ships and has visible impact
Please contact Chris Amison for more information.
Vacancy posted 2 days ago
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