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Provide high-level executive support to the Managing Director, North America and other senior leaders: full diary management, complex domestic and international travel coordination, event and meeting logistics, preparing high-stakes briefings, expense/timesheet processing, and cross-regional collaboration with global EA counterparts and partner-company assistants. Act as a thought partner making judgment calls, building stakeholder relationships, and shaping regional executive support processes.

The Senior Forward Deployed Software Engineer will work with customers to build and deploy applications using physics AI models, collaborate with cross-functional teams, and maintain RESTful APIs and microservices in Python, focusing on impactful solutions for engineering challenges.

Lead regional deployment engineering for PhysicsX, owning end-to-end on-prem and cloud deployments of a Kubernetes-based platform. Serve as Field CTO with executive customer engagement, manage deployment programs, navigate security/compliance, enable platform releases, and hire/scale the deployment team while stepping in hands-on for complex technical challenges.

The Executive Assistant will provide strategic support to the Managing Director and team, manage diaries, organize travel, and facilitate meeting logistics while collaborating with other EAs globally.

The Principal Simulation Engineer leads simulations, collaborates with customers to solve engineering challenges, and mentors junior colleagues while managing complex multi-physics models and workflows.

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.

The Office Manager oversees daily office operations, manages vendor relationships, ensures health and safety compliance, and champions employee experience initiatives. They serve as the primary point of contact for office-related queries and collaborate on operational improvements with global teams.

Lead development of predictive maintenance systems using computer vision, integrating multiple data sources to optimize equipment life and availability.

Own end-to-end US payroll (bi-weekly), ensure compliance, controls, reconciliations and year-end reporting. Partner with People, Finance, Legal and external providers to improve global payroll processes, documentation, and systems to support scale and audit readiness.

The Machine Learning Engineer will design and build scalable ML data pipelines, manipulate 3D data, collaborate with customers, and ensure reliable deployment of ML systems.