Jobs at PhysicsX

Develop and deploy deep learning and predictive models for engineering and physics applications. Responsibilities include data preprocessing, pipeline development, optimization, production deployment, simulation integration, customer collaboration, R&D, and presenting solutions. The role is hybrid in London and includes regular travel to customer sites worldwide.

Own and evolve HPC infrastructure supporting CPU- and GPU-intensive engineering simulations, including cluster administration, scheduling, performance tuning, and capacity planning. Provide escalated IT support, administer identity and access controls, support developer tooling and cloud environments, and implement zero-trust and compliance practices. The role also requires strong networking, automation, scripting, troubleshooting, mentoring, and process-building skills in a scale-up environment.

Build and own backend platform capabilities enabling data scientists, machine learning engineers, and simulation engineers to create, train, and deploy physics-informed models. Collaborate cross-functionally with backend, frontend, design, data science, and simulation teams. Develop scalable, observable production software using Python and Go, including testing, containerization, CI/CD, authentication, event-driven messaging, and Kubernetes-based applications.

Build and deploy customer-facing applications powered by physics AI models. Develop Python microservices and FastAPI REST APIs, prototype and iterate solutions with customers, collaborate with data scientists and machine learning engineers, and deploy cloud applications using Kubernetes, Helm, Terraform, AWS, and Azure. The role involves end-to-end application design, backend development, production deployment, and frequent international travel to customer sites.

The Senior ML Infrastructure Engineer will manage and optimize the ML infrastructure, focusing on training pipelines, model serving, and collaboration with research teams.

Lead global revenue recognition, manage multi-jurisdiction tax and statutory reporting (UK/US/Singapore), own AR processes, support audits, maintain technical accounting (leases, share-based payments), and improve controls and financial processes across the group.

Build and post-process CFD models, including geometry cleanup, meshing, simulation, and results analysis. Support parametric CAD, workflow automation, design optimization, and simulation dataset generation for machine learning models. Collaborate with data scientists, machine learning engineers, and customers, using cloud and HPC resources. Prepare customer presentations, apply engineering best practices, and travel occasionally for customer engagements.

Lead cross-functional strategic programs, translate company goals into executable plans, support annual and quarterly planning, track OKRs and operational metrics, identify organizational pain points, and drive alignment across teams. The role also involves competitive intelligence, stakeholder communication, ROI measurement, retrospectives, and building durable systems that improve company performance as PhysicsX scales.

Design and implement platform security features, act as security SME for Core Services, perform threat modeling and secure code reviews, support incident response and vulnerability remediation, and provide secure coding standards and developer training.

Manage and operationalize research programmes across foundation model and methods work: plan roadmaps, run cadences, track milestones and dependencies, surface and resolve risks, coordinate cross-functional and external partners, support resourcing and research outputs, and communicate progress to stakeholders to enable research teams to focus on science.

Develop and own high-fidelity computational plasma models for semiconductor etching and deposition, validate simulations against process data, collaborate with Data Scientists/ML engineers, work onsite with customers to scope challenges, integrate simulation into AI workflows, lead projects and mentor juniors, and travel globally to deliver solutions.

The Content & Communications Strategist will create compelling narratives for various channels, manage an editorial calendar, and collaborate across departments to enhance brand storytelling and engagement.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

Lead deployment of production ML systems for physics-based engineering: design scalable training/inference pipelines, work with 3D point-clouds and mesh data, collaborate with customers onsite, mentor engineers, define architecture and success metrics, and deliver robust cloud and on-prem ML solutions.

The Senior CFD Engineer will develop complex multiphysics models, validate DEM models, automate simulation workflows, mentor juniors, and engage with customers globally to solve engineering challenges.