PhysicsX

• Singapore
• Mid-level

Contributes to high-fidelity CFD simulations for marine propulsion projects, including propeller and hull-propeller interaction, using OpenFOAM for steady-state and transient cavitating cases. Builds models from geometry clean-up and meshing through post-processing, and works at the intersection of CAE and data science to generate simulation datasets for machine learning surrogates. Joins at the founding stage of the Singapore team, collaborating with data scientists and ML engineers and occasionally travelling to customer sites.

OpenFOAM · Star-CCM+ · Fluent +4

• Singapore
• On-site
• Director

Senior technical executive owning strategic Asia Pacific accounts, running time-boxed customer missions from first conversation to deployed, adopted platform. Acts as peer to customer CTOs and CIOs, navigating compliance, procurement and security reviews, and deploying into on-premise, air-gapped and sovereign environments. Reports to the executive team with no direct reports, shaping regional strategy and feeding field learnings back into product.

Kubernetes

• London
• Hybrid
• Lead

Owns high-level research work-streams, setting technical direction and roadmaps while guiding junior team members. Builds deep learning and probabilistic models of physical systems, collaborating with ML and simulation engineers to translate physics problems into mathematical formulations and production code. Requires a PhD and a strong publication record.

PyTorch · CUDA · JAX +4

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

Customer-facing role owning the full journey from onboarding and change management to roadmap planning and contract preparation, working alongside simulation, software, ML engineers and data scientists. Translates complex engineering and physics challenges into product opportunities, tracks engagement and grows strategic accounts. Hybrid, based in NYC or the Bay Area.

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node distributed systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Requires travel to customer sites 3-4 weeks per quarter and mentoring of engineers and data scientists.

PyTorch · Pandas · FastAPI +2