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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.

Build and deploy customer-facing applications that serve physics AI models. Collaborate with data scientists and ML engineers to design E2E solutions, build RESTful APIs and microservices (FastAPI/Python), deploy to cloud using Helm/Kubernetes/Terraform on AWS/Azure, and work onsite with customers to iterate and deliver production tools.

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.

Lead development and deployment of high-fidelity multiphase CFD and coupled-physics models for industrial processes. Own geometry cleanup, meshing, solver setup, automation, HPC execution, surrogate modelling, DoE, experimental validation, and customer-facing delivery to translate simulation results into engineering recommendations.

Lead development and validation of high- and low-frequency electromagnetic simulation models for semiconductor, automotive, aerospace, and other industries. Automate simulation pipelines, leverage cloud/HPC for high-fidelity runs, collaborate with data science/ML teams, present results to customers, mentor junior engineers, and travel to customer sites to deploy solutions and validate models with experimental data.

Lead data science workstreams to build production-ready deep learning and probabilistic models integrated with multi-physics simulations. Own data preprocessing, scalable data pipelines, model architecture, deployment, cross-functional collaboration, customer-facing co-development, internal R&D, and mentoring of junior team members.

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.

Build and run CFD models from geometry cleanup and meshing through simulation and post-processing for simple to moderately complex cases. Support automation, parametric CAD adaptation, and dataset generation for ML. Work with customers on-site, use cloud and on-premise HPC, and contribute to simulation engineering best practices.