This role involves leading and contributing to the development of a cloud-based, data-oriented platform that positively impacts global sustainability. Responsibilities include guiding architecture decisions, collaborating with stakeholders, and ensuring high-quality cloud solutions using C# and modern .NET. The position offers a competitive salary, enhanced pension, and hybrid working.
This role involves hands-on management of cloud infrastructure, automation, and deployment pipelines, with a focus on building reliable, secure, and scalable production environments on Azure. The engineer will collaborate closely with software teams, using Terraform, Kubernetes, Docker, and CI/CD tooling to support applications in the chemical and process industries. Emphasis is placed on operational ownership, troubleshooting, and solving complex infrastructure challenges in a technical domain.
Act as a technical advisor to academic and research partners, driving adoption of NVIDIA's AI and HPC technologies by integrating accelerated computing solutions into large-scale research projects. Focus on LLMs and open models, delivering training, co-developing prototypes, and translating research needs into engineering feedback. Role involves collaboration with leading institutions and contributing to high-impact scientific outcomes through publications and joint innovation.
This role involves designing and building backend systems for a deeptech startup focused on optimizing complex engineering simulations. The engineer will work closely with scientists and developers to shape the platform layer, using modern Python and Rust, and will integrate systems involving HPC job management (e.g. Slurm), containerized services, and secure identity flows (OIDC/OAuth2). Responsibilities include API design, state management, and handling failure resilience in distributed systems.
