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Lead design and delivery of cloud-native Data Integration Services: define scalable data access patterns, storage integrations, dataset lifecycle and permissioning, ensure observability and governance, and mentor engineers to drive platform adoption.

Design and build scalable microservices, APIs, and data pipelines for high-dimensional simulation data. Implement data storage and ingestion for ML workloads, enable BI and visualization tools, own features end-to-end, maintain CI/CD and observability, and collaborate with data scientists to ensure secure, reliable, performant systems.

Work with customers and cross-functional teams to turn AI-driven simulation research into reusable engineering applications. Build and maintain frontend interfaces and backend services, design APIs, write clean, tested code, optimise performance, and contribute to architecture and CI/CD. Translate customer workflows into product capabilities and mentor junior engineers.

The Senior Machine Learning Engineer will lead the deployment of ML models, design scalable systems, mentor team members, and collaborate with customers to solve engineering challenges.

The Senior Simulation Data Engineer will manage the end-to-end data pipeline for simulation, ensuring high-quality outputs for ML training and collaborating with research teams to optimize processes.

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

Develop and deploy AI agents for engineering workflows, collaborating with domain experts, and improving the platform's functionality through systematic evaluations.

As a Principal AI Engineer, you'll architect the Agentic stack for AI-driven simulation software, focusing on agent observability, deployment, sandboxing, evaluations, and governance within engineering workflows.

The Senior AI Engineer will build and scale the Agentic platform, implementing AI workflows for engineering, ensuring secure operations and high-code quality.

The Deployment Lead will manage end-to-end deployments of our platform in customer environments, ensuring successful adoption and addressing deployment challenges.