Latest Semiconductors Jobs

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 globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

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

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Technology Leader - Signal Processing Design and Integration

Leads signal processing design and integration projects across wireless, telecoms, audio, and semiconductor domains, driving technical innovation and client solutions. Provides engineering leadership, contributes to IP development, and shapes system architecture for complex, multidisciplinary systems. Works on diverse challenges from satellite communications to indoor navigation and custom DSP acceleration.

Cambridge Consultants United Kingdom

Hybrid Permanent Flexible

Forward Deployed Software Engineer

Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.

PhysicsX North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$250,000 pa

CFD Engineer

This role involves building and running high-fidelity CFD simulations from geometry cleanup to post-processing, supporting AI-driven engineering solutions. The engineer will work closely with data science teams to generate datasets for machine learning models, contribute to simulation automation, and engage with customers to deliver practical engineering insights. Based in Singapore, the position offers early-stage team influence and cross-industry technical exposure.

PhysicsX United Kingdom

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to develop AI-driven solutions for engineering and manufacturing challenges. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. The position requires strong software engineering practices and customer-facing delivery, with opportunities for international travel.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Forward Deployed Software Engineer

A Forward Deployed Software Engineer at PhysicsX works directly with customers and engineering teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers contribute to backend services, APIs, and platform features while shaping product direction based on real-world customer needs.

PhysicsX United Kingdom

Hybrid Permanent

Deployment Strategist - Aerospace & Defense

This role involves leading business development and delivery for an AI-driven engineering simulation platform within the aerospace and defense sector. The individual will identify and close opportunities, manage strategic customer relationships, lead technical delivery projects, and translate field insights into product improvements. It combines technical depth in engineering simulation with commercial leadership and cross-functional execution in a high-impact, deep-tech environment.

PhysicsX United Kingdom US$175,000 – US$250,000 pa

Applied Scientist - All Levels

Conduct research to develop physical foundation models using machine learning for engineering applications, translating complex physics problems into mathematical formulations. Collaborate with ML engineers, simulation experts, and customers to build AI-driven simulation tools that solve real-world challenges in advanced industries. Publish findings in top-tier venues and guide technical direction through experimentation and innovation.

PhysicsX United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX United Kingdom

Hybrid Permanent

Data Scientist

A Senior Data Scientist in Delivery will lead technical initiatives to integrate AI models into engineering simulation workflows, working directly with customers across industries like aerospace, energy, and semiconductors. The role involves building deep learning models, designing scalable data pipelines, and mentoring junior team members. Frequent international travel is required to collaborate on-site with clients, shaping production-ready solutions that solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Principal CFD Engineer

This role involves building and validating high-fidelity, multi-physics CFD models for real-world engineering challenges across aerospace, energy, and automotive sectors. The engineer will integrate simulations with AI-driven workflows, automate CAD and simulation pipelines, and collaborate directly with customers on-site to deliver optimised design solutions. A key focus is generating high-quality datasets for training machine learning models while advancing simulation best practices in an AI-CAE integrated environment.

PhysicsX United Kingdom

On-site Permanent

Principal Machine Learning Engineer

Develop and deploy machine learning models integrated with engineering simulation data, focusing on scalable pipelines and real-world deployment in high-fidelity physics environments. Work directly with customers to translate AI research into production-grade tools, using 3D data, time-series forecasting, and optimization models. Lead technical architecture, mentor teams, and travel on-site to support implementation across aerospace, energy, and advanced manufacturing sectors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work directly with customers and data scientists to design end-to-end tools, develop RESTful APIs in Python, and deploy physics-based microservices on cloud infrastructure. The role emphasizes rapid prototyping, user feedback iteration, and distilling cross-domain 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 closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom