26 to 39 of 39 ONNX Jobs

products, moving from prototypes to production devices deployed in customer fleets. The role combines kernel/driver work with edge AI deployment (TensorFlow Lite, ONNX Runtime) and requires mentoring peers, ensuring reliability, security, and field readiness. #J-18808-Ljbffr ...

Zero Trust architectures and principles Data classification and secure data handling AI-enabled software platforms Supporting AI model deployment or model conversion ONNX (Open Neural Network Exchange) Secure-by-design software engineering practices The Ideal Candidate You'll likely be a Senior Product Engineer or Senior Software Engineer with experience ...

robust, scalable and reproducible training and inference workflows. What you will do Develop robust, scalable and reproducible inference pipelines. Deploy models into production using ONNX, TensorRT or similar frameworks. Build and optimise scalable machine learning training workflows. Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training. … optimising and maintaining ML training and inference pipelines. Experience with Docker and containerised ML workflows. Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools. Experience with GPU-based training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong ...

robust, scalable and reproducible training and inference workflows. What you will do Develop robust, scalable and reproducible inference pipelines. Deploy models into production using ONNX, TensorRT or similar frameworks. Build and optimise scalable machine learning training workflows. Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training. … optimising and maintaining ML training and inference pipelines. Experience with Docker and containerised ML workflows. Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools. Experience with GPU-based training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong ...

model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between ...

aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency ...

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads ...

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads ...

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot ...

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot ...

optimize open-source SLMs (e.g., Gemma 3, Llama 3) and vision-language models for execution on low-power edge runtimes (LiteRT/TensorFlow Lite, ONNX Runtime, ExecuTorch). Knowledge Analytics & Graph Processing: Design, implement, and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust, or C++ … V1.1/Dependable AI ). ML & Edge Inference Mastery 3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings). Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware. Proficiency in Python and PyTorch/ ...

specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC‐based service communication, to the performance tuning of ONNX‐based inference on GPU‐accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring … challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

system reliability for vehicle-mounted, battery-conscious devices**Vision AI & Camera Systems*** Integrate, optimise and deploy computer vision models on edge hardware (TensorFlow Lite, ONNX Runtime), including quantisation and hardware acceleration (NPU/GPU/DSP)* Develop and tune the camera pipeline (V4L2, ISP configuration) for automotive imaging conditions* Define … workflows* Proven experience deploying and optimising ML/computer vision models on edge hardware, including quantisation and hardware acceleration (e.g. TensorFlow Lite, ONNX Runtime)* Experience with computer vision frameworks and models (OpenCV, YOLO-class detectors)* Experience with camera subsystems and pipelines (V4L2, ISP tuning, MIPI-CSI)* Track record of taking ...

Unreal Engine, Blender ou des environnements d'exécution Web.Une expérience en inférence d'IA/AA (apprentissage automatique) — par exemple l'exécution de modèles ONNX, l'utilisation du moteur d'inférence Unity, de ML-Agents ou de cadriciels pour la simulation, ou encore des cas d'utilisation de formation interactive.Une … such as optimizing and preparing 3D data for use in Unreal Engine, Blender, or web-based runtimes.AI/ML inference experience — for example running ONNX models, using Unity inference engine, ML-Agents, or frameworks for simulation, or interactive training use cases.Experience packaging and publishing sample projects e.g for public GitHub ...