4 of 4 Remote NVIDIA Jobs in Brighton

with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions 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 ❯

based company, we have established ourselves as a trusted technology partner to some of the world’s leading organizations, including Fortune 500 companies like NVIDIA, AWS, Google, and DigitalOcean. In 2019, we released our Per-Title Encoding AI model, allowing users to maximize video compression while maintaining quality for video More ❯

is a hands-on role requiring deep technical acumen, exceptional problem-solving ability, and comfort working across a diverse set of technologies including GPUs (NVIDIA and AMD), InfiniBand networking, and orchestration systems like Slurm. What You’ll Be Doing Provide expert-level support for customer HPC and AI workloads running … with Slurm workload manager, including tuning and troubleshooting. Proficiency with system-level debugging, including kernel modules and network interfaces. Experience with GPU compute platforms (NVIDIA and/or AMD) and associated libraries. Familiarity with MPI libraries (e.g., OpenMPI), InfiniBand, and high-speed Ethernet networking. Solid Linux administration skills and troubleshooting More ❯