76 to 95 of 95 CUDA Jobs

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible … level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

Enterprise Linux (RHEL) systems. * Deploy, manage, and troubleshoot Nvidia GPU platforms, including DGX/HGX infrastructure. * Install, maintain, and upgrade Nvidia drivers, CUDA toolkits, and GPU software stacks. * Monitor cluster performance, capacity, availability, and resource utilization. * Support researchers, engineers, and technical users running compute-intensive workloads. * Diagnose and resolve … Hands-on experience with Nvidia DGX and/or HGX systems. * Experience installing, configuring, upgrading, and troubleshooting Nvidia GPU drivers. * Strong working knowledge of CUDA and GPU-accelerated workloads. * Experience troubleshooting Linux, hardware, storage, and networking issues within HPC environments. * Ability to work directly with engineers, researchers, and technical ...

Enterprise Linux (RHEL) systems. Deploy, manage, and troubleshoot Nvidia GPU platforms, including DGX/HGX infrastructure. Install, maintain, and upgrade Nvidia drivers, CUDA toolkits, and GPU software stacks. Monitor cluster performance, capacity, availability, and resource utilization. Support researchers, engineers, and technical users running compute-intensive workloads. Diagnose and resolve … Hands-on experience with Nvidia DGX and/or HGX systems. Experience installing, configuring, upgrading, and troubleshooting Nvidia GPU drivers. Strong working knowledge of CUDA and GPU-accelerated workloads. Experience troubleshooting Linux, hardware, storage, and networking issues within HPC environments. Ability to work directly with engineers, researchers, and technical ...

Date Posted: 2026-08-20 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability ...

brief Run and troubleshoot production HPC clusters, including Slurm scheduling and RHEL systems. Deploy and support Nvidia GPU platforms (DGX/HGX), including drivers, CUDA and GPU software. Monitor performance, capacity and availability, and fix hardware, OS, storage, network and application issues. Support researchers and engineers running compute-heavy … Slurm administration HPC cluster, compute node and scheduler management Nvidia GPU platforms, including DGX and/or HGX, driver installation and upgrades, and strong CUDA knowledge Troubleshooting across Linux, hardware, storage and networking Strong communication, problem-solving and documentation skills Desirable skills Lustre or GPFS storage, InfiniBand AI/ ...

sensor and peripheral outputs into existing C++ algorithms and processing pipelines. Develop interfaces between hardware acquisition software and existing application/algorithm code. NVIDIA CUDA/GPU Develop, integrate and optimise software using NVIDIA CUDA where appropriate. Understand the Jetson GPU architecture and its implications for application performance. ...

plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that … develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction ...

Senior Linux HPC Engineer You will support and maintain enterprise-scale Linux and High-Performance Computing (HPC) environments, working with Red Hat Enterprise Linux 9, Slurm and GPU computing technologies. Contract: 12 months Location: Stevenage ...

Senior Linux HPC Engineer You will support and maintain enterprise-scale Linux and High-Performance Computing (HPC) environments, working with Red Hat Enterprise Linux 9, Slurm and GPU computing technologies. Contract: 12 months Location: Stevenage ...

Senior Linux HPC Engineer You will support and maintain enterprise-scale Linux and High-Performance Computing (HPC) environments, working with Red Hat Enterprise Linux 9, Slurm and GPU computing technologies. Contract: 12 months Location: Stevenage ...