34 jobs for “Defence”
PhysicsX New York, United States US$150,000 – US$190,000 pa
Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud analytics environments, and translating R&D outputs into reusable libraries and products. Travels to customer sites roughly 3-4 weeks per quarter.
PhysicsX New York, United States US$200,000 – US$300,000 pa
Partners with engineering teams to embed security into CI/CD pipelines, lead threat modeling and secure design reviews for web apps, APIs and cloud services, and manage the product vulnerability lifecycle. Requires deep DevSecOps and application security expertise, with hands-on Python and Go development and SAST tooling.
Rolls Royce Bristol
Develops and delivers composite preforming processes, including trimming and assembly of dry 3D woven fibre preforms for the latest fan system, based at the Composite Technology Facility in Filton, Bristol. Manages work packages across a cross-functional team and builds technical packages such as equipment specifications, PFMEAs and tooling to drive processes to zero defects.
Rolls Royce Bristol
Develops and delivers assembly processes for composite fan blades and structures, creating technical packages including equipment specs, PFMEAs and tooling. Works within the UltraFan Integrated Project Team alongside design engineers, operations, quality, external suppliers and the National Composites Centre, driving processes to zero defects using statistical process control.
PhysicsX New York, United States US$200,000 – US$250,000 pa
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.
PhysicsX New York, United States US$120,000 – US$240,000 pa
Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites 3-4 weeks per quarter to co-develop solutions on-site.
PhysicsX Singapore
Develops high-fidelity multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches. Owns the full simulation pipeline from geometry clean-up and meshing through solver setup, HPC runs and experimental validation, while building parametric CAD and Python automation for design optimisation and AI surrogate workflows.
PhysicsX New York, United States US$150,000 – US$250,000 pa
Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.
PhysicsX London
Builds and validates multiphase CFD and coupled CFD-DEM models, from geometry clean-up and meshing through simulation, post-processing and experimental validation, covering fluidised beds, pneumatic conveying, mills and coating processes. Automates parametric CAD and simulation pipelines for DoE and optimisation, generating datasets for ML surrogates, and works on-site with customers using cloud and HPC resources.
PhysicsX Singapore
Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.
PhysicsX Singapore
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Suits a technical background in data science/ML or engineering.
PhysicsX New York, United States
Builds and runs high-fidelity CFD models from geometry clean-up and meshing through simulation and post-processing, using Star-CCM+, OpenFOAM or Fluent plus parametric CAD and Python/Java automation. Works with data scientists and ML engineers to generate simulation datasets for deep learning surrogates, running jobs on cloud and HPC, and supports customer engagements with occasional travel.
PhysicsX Singapore
Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will train deep learning and probabilistic models on large spatiotemporal, geometric and point-cloud datasets, run experiment pipelines, and publish and present results with customers and partners.
PhysicsX Singapore
Build physical foundation models for industrial engineering, scaling training to large datasets on multi-GPU cloud compute. Turn research prototypes into robust, optimised implementations, own research workstreams, and translate results into reusable libraries and tooling alongside scientists and customers.
PhysicsX London
Owns the editorial calendar and writes blog posts, web pages, thought leadership, scripts and event materials, translating deep technical work into clear narratives. Leads LinkedIn and Instagram, supports executive and technical speaking engagements, and partners with engineers, designers and external agencies on video and joint content.
