Latest Engineering Manager - Core Infrastructur Jobs

Staff Software Engineer (Inference Platform), London

Design and optimize large-scale AI/ML infrastructure for biotech research, focusing on GPU/TPU systems, Kubernetes orchestration, and inference platform reliability. Build robust monitoring, CI/CD, and job scheduling systems to support high-throughput model serving and digital biology breakthroughs.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Deep Learning Software Engineer, Inference

This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale language and generative AI models. The engineer will work on GPU-accelerated frameworks like vLLM, SGLang, and FlashInfer, implementing cutting-edge algorithms and performance improvements across NVIDIA's full range of accelerators. Collaboration with open-source communities and cross-team partners is central to advancing model serving efficiency and deployment at scale.

NVIDIA PLN 221,250 – PLN 507,000 pa

Product Associate

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance London, United Kingdom

Hybrid Permanent

Machine Learning Research Engineer

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...

Luminance Cambridge, United Kingdom

Hybrid Permanent

Quality Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance Cambridge, United Kingdom

Hybrid Permanent

Senior Research Scientist - AI Safety

This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

PhD Studentship - Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems

This PhD project focuses on developing a rigorous empirical framework to assess the security robustness, failure modes, and operational risks of AI decision engines in cyber-physical systems. The research will provide empirical evidence to support informed deployment decisions in safety-critical industries like transportation, energy, and manufacturing.

Newcastle University Newcastle upon Tyne, Northern England, United Kingdom £21 pa

Contract

Senior Data Engineer

Design and maintain scalable data platform components including pipeline orchestration, data transformation, and infrastructure automation. Collaborate with cross-functional teams to deliver secure, reliable platform features that accelerate data workflows and support data sharing. Promote platform adoption and contribute to engineering culture through mentoring and knowledge sharing.

Ocado United Kingdom

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workflows for energy applications such as seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and enhance CUDA performance, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU and multi-node solutions. Work includes deep technical engagement on real-world energy simulation pipelines and contributing to future NVIDIA product development.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated energy simulation and AI workflows on NVIDIA platforms, with a focus on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. You'll work closely with customers and internal teams to profile, debug, and improve end-to-end performance across multi-GPU and multi-node systems. The position emphasizes hands-on development, benchmarking, and creating reusable code and reference implementations to drive scalable solutions in high-performance computing.

NVIDIA Switzerland

On-site Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows on NVIDIA platforms. Responsibilities include CUDA performance optimization, profiling, and working with customer and partner engineering teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU solutions. Work includes deep technical engagement on performance, memory, and concurrency across complex scientific computing pipelines.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing Energy simulation and AI workloads on NVIDIA GPUs, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune multi-GPU, multi-node HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable performance improvements on real-world production workflows.

NVIDIA

Remote Permanent

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.

Isomorphic Labs United Kingdom

Hybrid Permanent

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a technical advisor to academic and research partners, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, integrate NVIDIA software stacks into workflows, and deliver training and technical content. Bridge research needs with NVIDIA's capabilities while contributing feedback to engineering teams.

NVIDIA