1 to 25 of 59 NVIDIA Jobs in London

developing embedded software and firmware. Strong proficiency in Pythen programming for embedded systems. Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson). Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus). Solid understanding of communication protocols (e.g., UART, SPI, I2C More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will More ❯

Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

transformers. Plusses: Experience with high-content screening, high-throughput data generation, or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Ability to write well-tested More ❯

transformers. Plusses: Experience with high-content screening, high-throughput data generation, or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Ability to write well-tested More ❯

transformers. Plusses: Experience with high-content screening, high-throughput data generation, or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Ability to write well-tested More ❯

machine learning. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Hands-on proficiency in C++ and Python. Familiarity with robotic simulation environments (e.g. NVIDIA Omniverse, MuJoCo, PyBullet). Solid grasp of real-world constraints in robotic perception and manipulation. Strong communication and collaboration skills. Preferred Qualifications Experience implementing, testing More ❯

with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge More ❯

data generation, single-cell RNA sequencing, or similar modalities integrated with AI/ML modeling. Hands-on with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale AI/ML model training and deployment. Deep understanding of systems modeling, biophysics, and causal inference in computational biology. Writing More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

GPUs across Europe, catering to enterprises requiring high-performance compute power for AI and machine learning workloads. With strong partnerships with industry giants like Nvidia and AMD, they are poised for significant growth and are seeking a talented Senior Analyst to join their dynamic team. Role Overview: As a Senior More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

and implementing GPU programming APIs (e.g., CUDA, OpenCL) to ensure high efficiency and compatibility across GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions. Collaborating closely with software, hardware, and machine learning teams to ensure that More ❯

and implementing GPU programming APIs (e.g., CUDA, OpenCL) to ensure high efficiency and compatibility across GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions. Collaborating closely with software, hardware, and machine learning teams to ensure that More ❯

and implementing GPU programming APIs (e.g., CUDA, OpenCL) to ensure high efficiency and compatibility across GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions. Collaborating closely with software, hardware, and machine learning teams to ensure that More ❯

pharma/life sciences .1 A “get stuck in” attitude — this is a team of doers, not just architects. Bonus Points For Familiarity with NVIDIA tools (e.g., NSight , Triton Inference Server ) is a major plus. Multi-modal model experience. 3d imaging experience. Interest in or exposure to pharma and computational More ❯

pharma/life sciences .1 A “get stuck in” attitude — this is a team of doers, not just architects. Bonus Points For Familiarity with NVIDIA tools (e.g., NSight , Triton Inference Server ) is a major plus. Multi-modal model experience. 3d imaging experience. Interest in or exposure to pharma and computational More ❯

pharma/life sciences .1 A “get stuck in” attitude — this is a team of doers, not just architects. Bonus Points For Familiarity with NVIDIA tools (e.g., NSight , Triton Inference Server ) is a major plus. Multi-modal model experience. 3d imaging experience. Interest in or exposure to pharma and computational More ❯

Industry Representation & Learning Represent NexGen Cloud at trade shows, virtual events, and strategic industry forums Stay informed on AI infrastructure trends, GPU technology (including NVIDIA ecosystem), and competitive developments Commit to continuous learning to strengthen both technical understanding and sales effectiveness Qualifications Proven track record in managing the full sales More ❯