1 to 25 of 37 ONNX Jobs

wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial ...

SageMaker, Vertex AI, AzureML), including sovereign, on‐premise, and hybrid deployment models. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub). Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput). Hands‐on coding skills in Python, and familiarity with ...

. DESIRABLE SKILLS: Experience with MLflow, Weights & Biases or similar experiment-tracking tools. Experience with Spark or large-scale data processing platforms. Knowledge of ONNX, TorchScript, FastAPI or gRPC. Experience deploying AI solutions within Azure, AWS or Google Cloud environments.Experience using Docker and containerised deployment approaches. Experience developing software ...

results in a high‐performance startup environment. Passion for AI, open source, and helping customers achieve real outcomes. Nice to have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference ...

image classification, segmentation or visual inspection applications. Real-time processing, GPU acceleration or deployment to edge devices. Model optimisation and inference tools, such as ONNX or TensorRT. Experience working with cameras, video streams or hardware interfaces. Familiarity with Git, CI/CD and AI-assisted coding tools. What You Will ...

. Preferred Skills: Hugging Face Transformers. Familiarity with time‐series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth and Impact: Technical Leadership ...

environments. A BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience. Knowledge of GPU programming. Experience with game programming. Knowledge of ONNX or other intermediate representations for ML model graphs.. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around ...

STFT/filterbanks, beamforming, and real-time audio processing. Preferred: Experience with on-device inference frameworks and toolchains such as ExecuTorch, TFLite/LiteRT, ONNX Runtime, or vendor NPU/DSP SDKs. Preferred: Experience with model compression techniques such as quantization-aware training, post-training quantization, pruning, or distillation. Preferred ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologies GPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend integration ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologies GPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend integration ...

building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution ...

building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution ...

building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution ...

quality is non-negotiable. ML Stack Highlights Python and Rust. We keep things simple but use the right tool for the job Rust with ONNX in-process model execution where throughput is critical Chalk.ai as our Feature Store GCP Agent Platform Endpoints for model serving Cloud-native on GCP. Services ...

environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar systems. Experience with profiling and performance-analysis tools for CPUs, GPUs or NPUs. Knowledge of multi-device or distributed execution, collective communication ...

Linux, x86 and ARM, with CMake and real performance profiling ability Strong working knowledge of GPU inference (TensorRT, Triton) and ML pipelines (PyTorch, ONNX) Proven experience running tracking at scale in AWS, on-premise and on edge devices Hands-on use of AI coding agents and LLM orchestration to accelerate ...

with quantization-aware training, post-training quantization, compression,pruning, and sparsity optimization. Experience bringing vision or multimodal models from development through fulldeployment. Familiarity with ONNX and model graph transformation pipelines. Experience validating numerical behavior across float and integer execution paths. Experience supporting external customers, partner enablement, or productization of AIplatforms. ...

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

teams. Excellent communications skills both written and verbal “Nice To Have” Skills And Experience Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with RTL simulation tools and software development tools ...

improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...

quantization-aware training, post-training quantization, compression, pruning, and sparsity optimization. Experience bringing vision or multimodal models from development through full deployment. Familiarity with ONNX and model graph transformation pipelines. Experience validating numerical behavior across float and integer execution paths. Experience supporting external customers, partner enablement, or productization ...

quantization‐aware training, post‐training quantization, compression, pruning, and sparsity optimization. Experience bringing vision or multimodal models from development through full deployment. Familiarity with ONNX and model graph transformation pipelines. Experience validating numerical behavior across float and integer execution paths. Experience supporting external customers, partner enablement, or productization ...

improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...

across Rust, Python, and cloud environments. Join a quick-moving, growth-focused team focused on distributed systems, Kubernetes orchestration, and performance-tuned GPU inference (ONNX) in production, while shaping robust, scalable architecture and contributing to a culture of #J-18808-Ljbffr ...

model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution, and contribute to open research with practical insights and publications. #J-18808-Ljbffr ...