PhysicsX

PhysicsX seeks a Deployment Strategist for Aerospace & Defense to lead business development and delivery of AI-driven simulation solutions. This hybrid role in New York involves driving new business, leading proposals, and managing customer relationships. Requires 8+ years of A&D experience and a blend of technical and commercial skills.

PhysicsX is seeking a Principal CFD Engineer to join their Singapore team, focusing on delivering high-fidelity simulations and building CAE models for AI-driven engineering solutions. The role involves working with customers, building parametric CAD models, and automating simulation workflows.

PhysicsX is seeking a CFD Engineer to join their Delivery team in London. The role involves building high-fidelity CFD models, supporting customer engagements, and contributing to simulation pipeline automation for AI-driven engineering.

PhysicsX is seeking a Principal Research Scientist to lead research work-streams in AI-driven simulation for engineering. The role involves setting technical direction, building machine learning models for physical systems, and collaborating with engineers and customers. Requires a PhD and expertise in deep learning, probabilistic methods, and geometric deep learning.

PhysicsX is seeking a Senior Machine Learning Infrastructure Engineer to extend and operate the infrastructure powering research model training, fine-tuning, and serving pipelines. The role involves designing distributed training infrastructure, optimizing data I/O, building serving infrastructure, and improving developer experience for the Research team.

PhysicsX is hiring a Senior ML Infrastructure Engineer to own distributed training and serving infrastructure for Large Physics Models, embedded with research scientists. The role focuses on efficient model training, data I/O, and deployment at scale.

PhysicsX is hiring a Principal CFD Engineer for its Delivery team. The role involves leading complex multi-physics simulations, working directly with customers, and integrating CAE models into AI tools. Requires deep CFD expertise and 5+ years industry experience.

PhysicsX seeks a CFD Multiphase & DEM Engineer to build high-fidelity simulation models, develop DEM models, and support AI-driven simulation workflows. Requires expertise in CFD and DEM tools, Python, and on-site customer engagement.

PhysicsX is hiring a Principal Data Scientist to lead research work-streams in AI-driven simulation for engineering, translating physics challenges into machine learning models. The role involves owning technical direction, mentoring junior team members, and publishing research in top venues.

PhysicsX is seeking a CFD Multiphase & DEM Engineer to develop advanced multiphase flow models and simulation workflows for bioprocess and chemical engineering applications. The role involves building AI-coupled simulation pipelines, parametric CAD, and delivering customer-facing CAE solutions.

PhysicsX, an AI-driven simulation company, seeks a CFD Engineer with deep expertise in multiphase flow modeling to develop high-fidelity simulations for industrial applications. The role involves building and automating CFD models, integrating with AI/ML, and working directly with customers.

PhysicsX is seeking a Senior Simulation Engineer with deep electromagnetics expertise to build high-fidelity simulation models and drive AI-driven engineering innovation. This hybrid role in New York involves collaborating with customers, automating simulation pipelines, and mentoring junior engineers.

Senior Machine Learning Engineer at PhysicsX, a deep-tech company building AI-driven simulation software for advanced industries. The role involves deploying ML models to customer production environments, leading technical initiatives, and working directly with customers. Hybrid working model with 3 days in Shoreditch office.

PhysicsX is seeking a Forward Deployed DevOps Lead to lead deployment engineering for strategic accounts, owning customer relationships and growing the regional team. This hybrid role involves deploying Kubernetes-based infrastructure, navigating complex enterprise environments, and ensuring end-to-end deployment success.

PhysicsX is seeking a Machine Learning Software Engineer to work with research scientists to build and deliver ML models for physics and engineering simulations. The role involves designing, scaling, and optimizing ML models with a focus on distributed training and foundation models. Ideal candidates have experience in Python, deep learning, and high-performance computing.

PhysicsX is seeking a CFD Engineer to join its Singapore team, working on AI-driven simulation software. The role involves building CAE models, running CFD simulations, and collaborating with data scientists and customers to deliver high-fidelity simulations for advanced industries.

Senior Technical Programme Manager at PhysicsX, a deep-tech company building AI-driven simulation software. You will own the operational heartbeat of the product organisation, ensuring work moves from strategic intent to shipped product, and manage cross-team programmes and rituals.

PhysicsX seeks a Senior Infrastructure Engineer to extend and operate the infrastructure powering research model training, fine-tuning, and serving pipelines. The role involves designing distributed training on NVIDIA DGX B200, optimizing data I/O, and building model serving infrastructure, all in close collaboration with ML engineers and scientists.

PhysicsX is seeking a Research Scientist to develop machine learning interatomic potentials for materials modelling. The role involves working with a multidisciplinary team, running experiments on large-scale datasets, and owning research workstreams. Requires a PhD in computational chemistry, physics, or materials science.