Latest Hardware Acceleration Jobs

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

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

W

Machine Learning Engineer, ADAS

Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Focus on real-world impact by iterating on detection, classification, and segmentation for lanes, objects, and traffic infrastructure.

Wayve London, United Kingdom

Hybrid Permanent

W

Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, reinforcement learning, and 3D spatial understanding. The scientist will develop foundation models, scalable decision-making systems, and sim-to-real transfer techniques, working at the intersection of machine learning, robotics, and simulation. The position emphasizes long-horizon prediction, cross-embodiment learning, and evaluation framework development in a research-driven environment.

Wayve London, United Kingdom

On-site Permanent

Tech Engagement Lead, AI Labs - EMEA

This role involves building deep technical partnerships with leading AI research labs and model builders to integrate NVIDIA's GPU hardware, systems, and software stack into their AI development workflows. The candidate will identify performance bottlenecks, drive platform optimisations across training, post-training, and inference, and translate technical insights into product roadmap influence. They will also help shape collaboration strategies, support technical assessments of emerging AI labs, and enable public showcases of joint innovation at events like GTC.

NVIDIA

Solution Architect, Local Government AI

The role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges in areas like health, safety, and civic services. You'll develop technical strategies, create educational resources, lead proof-of-concept initiatives, and translate mission goals into scalable AI implementations using NVIDIA's hardware and software stack. The position emphasizes collaboration across global teams and ecosystems, with a focus on computer vision, generative AI, and MLOps-enabled deployments.

NVIDIA Spain

Remote Permanent Clearance Required

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

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

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing contexts. The Principal Data Scientist will lead the design of deep learning and optimisation methods, preprocess complex engineering data, and integrate models into production-ready pipelines. Working closely with simulation engineers and customers, the role emphasizes technical leadership, on-site collaboration, and mentoring, with significant influence on product development and AI model deployment across aerospace, energy, semiconductors, and other advanced industries.

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

Senior Software Security Developer – Core Platform Services

This role involves designing and implementing core security features for a high-performance simulation platform, with a strong focus on authentication, secure coding standards, and cross-team collaboration. The developer will act as a security SME, conducting threat modeling, code reviews, and mentoring engineers across the organization. Work spans identity protocols, platform guardrails, and incident response support within a fast-paced, AI-driven engineering environment.

PhysicsX London, United Kingdom

W

Senior Software Engineer, Cloud, Simulation

This role involves developing and enhancing Wayve's simulation platform for autonomous driving systems, focusing on high-fidelity, scalable simulation using both classical techniques and machine learning. The engineer will lead technical direction in areas like robot emulation, visual fidelity, or scaling, integrating complex subsystems into production software. Collaboration with robotics, research, and data teams ensures simulations provide accurate, high-signal feedback for driving intelligence development.

Wayve London, United Kingdom

Hybrid Permanent