Vacancy Description
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...
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