Jobs at PhysicsX

Owns the full lifecycle of task-based, in-platform technical documentation and how-to guides, from scoping and research through validation, publication, release updates, testing, and maintenance. Partners with curriculum leads, subject matter experts, Product, Engineering, and GTM leadership to ensure guides accurately support machine learning and simulation workflows. Maintains documentation backlogs, validates technical content independently, and keeps guidance current with platform releases.

Architect and build a production-grade agentic AI platform for engineering workflows. Responsibilities include agent observability, deployment, sandboxing, evaluation, governance, identity, access control, durable execution, agent memory, and developer experience. The role requires designing secure, reliable AI infrastructure using Python, Kubernetes, Docker, Terraform, agentic frameworks, vector databases, and evaluation tools.

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.

Design, provision, and operate reliable shared infrastructure across AWS, GCP, Azure, and on-premises environments. Manage Kubernetes clusters, multi-tenancy, secrets, GPU workloads, networking, service meshes, and infrastructure as code using Terraform and Crossplane. Develop operators, establish reliability targets, respond to incidents, and partner with security and platform teams on governance and compliance.

Lead research on generative models and learned representations for 3D engineering geometry. Design and train models using representations, latent spaces, and physics-based objectives; evaluate outputs with production numerical solvers; formulate engineering problems with ML and simulation teams; guide research direction, mentor colleagues, and publish findings. The role focuses on geometric deep learning, generative modeling, neural fields, and coupling geometry generation with physical objectives.

Own PhysicsX’s global events strategy and calendar, manage external conference programs, and produce executive, customer, research, talent, and launch experiences end-to-end. Responsibilities include budgeting, vendor and venue management, speaker coordination, event logistics, stakeholder collaboration, onsite execution, post-event analysis, and ROI reporting. The role builds scalable event processes and playbooks while ensuring experiences support commercial, research, talent, and brand objectives.

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.

PhysicsX invites candidates to join its talent community for future opportunities across research, data science, machine learning engineering, product, and delivery. The company develops AI-driven simulation software for engineering and manufacturing in advanced industries including aerospace, energy, semiconductors, materials, and automotive. Applications are reviewed for potential future roles, with no active vacancy or immediate progression guaranteed.

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.

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.

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.

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.

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.