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About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and…
Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can meander through a…
NVIDIA DGX Cloud delivers AI services and endpoints for research and production workloads. We are looking for a Senior Production Engineer to build software and automation that make those services reliable, scalable,…
This is an opportunity for an AI-Engineering Principal Software Engineer, AI Group to get in on the ground floor. Cohu is building the AI engineering platform for semiconductor test from the ground up: cloud and…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
Builds and operates the distributed runtime behind Baseten's large-scale LLM inference platform — routing, autoscaling, scheduling, and model-serving APIs on Kubernetes and GPU infrastructure — keeping every deployed model fast, reliable, and cost-efficient while improving the developer experience.
Baseten is hiring a Software Engineer (Inference Performance) in San Francisco to make LLM inference run faster and cheaper on its AI model-serving platform, working across the stack from GPU kernels and memory layout up to scheduling, serving, and routing. Core technologies: Python/C++, PyTorch, TensorRT-LLM, vLLM/SGLang, and CUDA.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Builds and ships multimodal perception models that run reliably on physical robots at OpenMind, which is building the operating system for robotics. Day to day: training/evaluation/inference pipelines, containerized model services, and optimizing foundation models for real-time inference on embedded hardware with PyTorch/JAX, TensorRT/ONNX, ROS2, Docker, and NVIDIA Jetson.
Deploys and optimizes machine-learning models to run as production on-device intelligence on Neura Robotics' robots, handling quantization/pruning/distillation, toolchains (ONNX, TensorRT, AIMET), and hardware-level profiling on embedded accelerators like NVIDIA Jetson and Qualcomm.
As an Edge AI Engineer at Neura Robotics, you deploy and optimize ML models on embedded accelerator hardware (NVIDIA Jetson, Qualcomm) so robots run fast, lean on-device intelligence in production. Daily work spans quantization, pruning, distillation, ONNX/TensorRT/AIMET toolchains, and low-level profiling against latency, power, and memory budgets.
Arcade is hiring a founding/principal ML engineer to own its ML pipeline end to end — training, fine-tuning, evaluating, and shipping small models (embeddings, rerankers, classifiers) that power AI agent tool selection and routing in its MCP runtime, deployable into customer VPCs and air-gapped environments. Core stack: Python plus TypeScript or Go, with deployment via vLLM/ONNX/TensorRT/llama.cpp
About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North…
Machine Learning Engineer in Stockholm or Gothenburg building multi-modal perception and autonomy systems: designing and training models for sensor fusion, 3D detection, tracking, and scene understanding, then deploying them on NVIDIA edge hardware using PyTorch, CUDA/TensorRT, ROS2, and robotics foundation models.
This is the senior computer vision engineering authority for Hawk-Eye's tracking technology, and it is an individual contributor role. Our tracking sits underneath almost everything Hawk-Eye sells. Goal-line…
Salary: $4,500 – $6,500 per month Description: Central | Office hour | up to $6,500 Role Summary Purpose: Strengthen in-house capability in robotics software, computer vision / edge AI and sensor integration. The…
Senior MLOps Engineer building infrastructure and deployment pipelines for AI models that convert satellite imagery into defense intelligence. You will manage Kubernetes GPU workloads, automate training workflows, and ensure models can be deployed to cloud and air-gapped on-premise environments using Python, Terraform, and Helm.
Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment,…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today,…
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