Machine Learning Researcher

Machine Learning Researcher Overview

Join a pioneering team working at the forefront of machine learning and AI technology tailored for the semiconductor industry. This role involves developing innovative algorithms and models to enhance the simulation and verification of complex integrated circuits, particularly analogue and behavioural models. The position offers a unique opportunity to work on high-impact projects that directly influence chip design processes, with a focus on accelerating simulation coverage and reducing risks associated with tapeouts.

Key Responsibilities

• Design and improve advanced machine learning and AI algorithms specifically for chip simulation tasks.
• Create models that accurately capture the behavior of dynamic systems within integrated circuits, leveraging data from SPICE and other analogue circuit sources.
• Work closely with hardware and circuit design teams to implement research findings into practical tools and workflows.
• Balance theoretical research with practical implementation, ensuring solutions are deployable within existing EDA environments.
• Publish research outcomes in reputable ML and EDA venues, contributing to scientific knowledge and industry standards.
• Effectively communicate complex technical concepts to multidisciplinary teams, including circuit designers and ML researchers.
• Stay informed about the latest developments in ML, behavioural modelling languages, and EDA tools, applying relevant innovations to ongoing projects.
• Participate in a small, agile team where your work has direct visibility and impact on product development and customer solutions.

Candidate Requirements

• Possess a degree in Physics, Engineering, or Electronics, with a PhD focused on Machine Learning.
• Strong programming skills in Python, with experience using frameworks such as PyTorch or JAX.
• A record of publishing research in ML or EDA-related conferences or journals.
• Ability to translate research into practical, real-world applications.
• Excellent communication skills for explaining complex concepts to diverse audiences.
• Experience modeling dynamic systems, especially within the context of integrated circuits.
• Knowledge of analogue circuit data, SPICE simulations, and behavioural modelling languages.
• Prior experience in startup environments or applied research roles is highly advantageous.

Benefits and Perks

• Competitive salary combined with performance-based bonuses and significant equity participation.
• Flexible working options, including remote and hybrid arrangements, with offices in London, Cambridge, and Oxford.
• Opportunity to work directly with customers and test models on actual silicon hardware.
• Be part of a small, senior team where your contributions are highly visible and impactful.
• Autonomous work environment with the chance to influence cutting-edge technology in the chip industry.

This is an exciting opportunity for a researcher passionate about applying machine learning to real-world semiconductor challenges, with the potential for high visibility and significant impact within a growing company.

Degree Requirement: Bachelor’s

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