Latest Semiconductors Jobs

Machine Learning Engineer

A Machine Learning Engineer will work at the intersection of data science and software engineering to develop and deploy AI-driven simulation tools for engineering and manufacturing. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable software products. Frequent customer collaboration and international travel are key aspects of the role.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to implement solutions on-site. The position focuses on translating research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

PhysicsX England US$200,000 – US$250,000 pa

Hybrid Permanent Clearance Required

Director of Packaging

Lead the development of advanced semiconductor packaging solutions for GaN-based power devices, combining technical expertise with leadership to drive innovation in thermal, electrical, and mechanical performance. Collaborate across internal teams and external partners to design wirebond, flip chip, and embedded packages, conduct multiphysics simulations, and support product qualification. Shape packaging strategy and contribute to the company’s technology roadmap in a hands-on, senior leadership role.

Cambridge GaN Devices Cambridge, United Kingdom

On-site Permanent

CFD Engineer

This role involves building and running computational fluid dynamics (CFD) simulations from geometry cleanup to post-processing for moderately complex engineering challenges. The engineer will work at the intersection of CAE and data science, supporting the creation of high-fidelity simulation datasets used to train AI models, while collaborating with data scientists and machine learning engineers. The position includes hands-on work with parametric CAD models, simulation automation, and cloud-based HPC platforms, with opportunities to grow into independent customer engagement and technical leadership.

PhysicsX United Kingdom

Data Scientist

A Data Scientist in the Delivery team will work directly with customers and engineering teams to transform AI models into practical tools for solving complex physics and engineering challenges. The role involves preprocessing data, building deep learning models, and deploying scalable data pipelines integrated with simulation systems. Frequent travel and on-site collaboration with clients across multiple industries are key aspects of the position.

PhysicsX United Kingdom US$120,000 – US$240,000 pa

Applied Scientist - All Levels

This role involves developing physical foundation models using machine learning to solve complex engineering and physics problems. You will translate real-world challenges into mathematical formulations, build scalable models for high-dimensional data, and collaborate with engineers and customers to deliver AI-driven simulation solutions. The position emphasizes research ownership, publication, and innovation in domains like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

CFD Engineer

This role involves building and running high-fidelity CFD simulations from geometry cleanup to post-processing, supporting AI-driven engineering solutions. You'll work closely with data science teams to generate datasets for machine learning models, automate simulation workflows, and engage with customers to deliver practical engineering insights. The position blends hands-on simulation work with integration into cloud and AI platforms, with opportunities to grow into technical leadership.

PhysicsX United Kingdom

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and cross-functional teams to solve complex engineering challenges. Focus on building reliable data pipelines, processing 3D point-cloud and mesh data, and translating research into production-grade tools using modern MLOps practices.

PhysicsX United Kingdom US$150,000 – US$190,000 pa

Remote Permanent

Senior Applied Engineer

Develop and scale physical foundation models by bridging research and engineering, transforming prototypes into robust AI-driven simulation systems for real-world physics problems. Work across distributed computing and cloud infrastructure to optimise large-scale model training and deployment. Collaborate closely with scientists, engineers, and industry partners to deliver reusable tools and products with tangible impact in engineering and manufacturing.

PhysicsX United Kingdom

Hybrid Permanent

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The principal data scientist will lead technical initiatives, design deep learning and optimization models, and work directly with customers to integrate AI into physical systems. Responsibilities include mentoring team members, building scalable data pipelines, and driving R&D to refine simulation technologies across industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Principal CFD Engineer

This role involves building and validating high-fidelity computational fluid dynamics (CFD) and multi-physics simulations for real-world engineering challenges across aerospace, energy, automotive, and other advanced industries. The engineer will work at the intersection of CAE and AI, creating automated simulation workflows, generating datasets for machine learning models, and collaborating directly with customers on-site to integrate simulation into design and optimization processes. A strong emphasis is placed on mentoring, technical leadership, and improving engineering practices to support AI-driven surrogate modelling.

PhysicsX United Kingdom

On-site Permanent

Principal Machine Learning Engineer

Develop and deploy AI-driven simulation models for engineering and physics challenges across industries like aerospace, energy, and semiconductors. Work hands-on with 3D data, ML pipelines, and customer integration, translating R&D into production systems. Lead technical projects, mentor teams, and travel globally to co-develop solutions on-site.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering challenges for customers in industries like aerospace, energy, and semiconductors. You'll collaborate with data scientists, ML engineers, and customers to design, prototype, and iterate tools that transform engineering workflows. The work spans backend development, API design, cloud deployment, and distilling cross-industry solutions into reusable platform features.

PhysicsX United Kingdom

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working directly with customers across industries like aerospace, energy, and semiconductors. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to co-develop solutions. The engineer operates at the intersection of data science and software engineering, turning R&D into robust, reusable tools.

PhysicsX London, United Kingdom

Senior Software Security Developer – Core Platform Services

This role involves designing and implementing security features for a core platform, with a strong focus on authentication, secure coding practices, and threat modeling. The developer will act as a security SME, mentoring teams, conducting code reviews, and helping shape incident response workflows. Working within a high-caliber engineering team, they will build secure, scalable components used across an AI-driven simulation software stack for advanced industries.

PhysicsX London, United Kingdom