18 of 18 NVIDIA Jobs in the UK excluding London

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯

impactful environment. Key Responsibilities: Design and develop high-performance C++ and Python code Port and optimise deep learning models for deployment on edge devices Work with tools such as Nvidia DeepStream and Triton Inference Server Collaborate with international teams including software developers and AI researchers. Essential Skills & Experience: Degree in Computer Science or a related field. Strong experience in modern More ❯

video processing/streaming, working with cameras, codecs and streaming protocols. Experience of C#, Python, Qt, WPF, Visual Studio. Experience working with Windows and Linux device drivers. Experience with Nvidia Jetson. Experience creating CI/CD and automated test infrastructure with hardware in the loop. Experience building CI/CD pipelines with GitLab or GitHub. Familiarity with I2C, SPI, CoaXPress More ❯

and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology More ❯

Core, SOAP/REST APIs, and MySQL/PostgreSQL, Red Hat OpenShift, Kubernetes Understanding of DevOps, cloud deployments, and service observability Bonus: Interest/experience in AI, digital twins, Nvidia Omniverse SDK & APIs, Universal Scene Description What We Offer : Reimbursement for tuition and professional dues Three weeks of vacation and five paid personal days (to start) RRSP matching program Free More ❯

ROS, including advanced OpenCV, Boost, Standard library, and Jsoncpp for efficient data processing and manipulation. Implement machine learning models for object detection, particularly using YOLOv5, and optimize performance using Nvidia CUDA hardware acceleration. Develop, test, and deploy cloud-based applications and simulations, using Azure DevOps, Docker, and cloud-based agents for continuous integration and deployment. Write and maintain unit tests More ❯

Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission-aligned: You care about technology that serves people and ecosystems Willingness to travel outside of UK More ❯

the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst firms More ❯

enterprise-focused distributor, specialising in designing and delivering optimised server, storage, and infrastructure solutions into the world's fastest-growing technology sectors. Partnering with global technology leaders such as Nvidia, Intel, AMD, Supermicro, Dell , and more, they deliver high-performance solutions to their customers. As they continue to expand, they are looking for an ambitious and results-driven Account Manager More ❯

significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity … at over $1 billion. Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. More ❯

significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity … at over $1 billion. Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. More ❯

day (Outside IR35) Duration: 3 months Location: Fully remote/WFH Role: We are assisting a leading global cloud provider who seek an HPC AI Architect who specialises in NVIDIA AI architecture.This is a fully remote opportunity, ideally suited to a High-Performance Computing specialist with a deep technical understanding of NVIDIA Blackwell infrastructure, spanning hardware, software, and storage domains. … will be highly proficient in the following areas: Hardware Advanced multi-GPU system design High-speed interconnects: PCIe, NVLink, InfiniBand Thermal and power efficiency modelling Expert-level knowledge of NVIDIA Blackwell infrastructure Optimizing CPU/GPU ratios in HPC environments Software AI/HPC workload simulation and performance analysis Precision optimization (FP16, BF16, INT8, etc.) GPU utilization profiling and tuning More ❯