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Designs and embeds computer-vision and AI inference models into real-time robotic platforms, optimizing accuracy, latency, and resilience and deploying to edge devices for a green-energy smart workplace platform company. Core stack: Python, PyTorch/TensorFlow, OpenCV; NVIDIA Jetson/TensorRT and ROS2 experience preferred.
О компании Мы 2UPLAB - международное диджитал - агентство полного цикла. Занимаемся проектированием, разработкой и дизайном сложных интернет-проектов, разрабатываем веб- и мобильные программные приложения для клиентов…
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Principal-level engineer to own the multi-year roadmap and architecture for Nscale's inference, evals, and post-training platform on its GPU cloud, setting standards that 20-50+ engineers build to. Core work spans GPU kernel efficiency, serving/KV cache architecture, quantization, benchmarking/evals, and RL infrastructure. Salary $290k-$443k USD plus bonus and equity.
Senior systems-focused AI engineer at Orca AI building and optimizing real-time computer vision pipelines on edge hardware (NVIDIA Jetson, Triton) that process live video from vessels for maritime collision prevention. Day-to-day work centers on profiling and tuning CPU/GPU/memory performance, deploying production CV models, and ensuring reliability in safety-critical conditions.
Archangel Autonomy is hiring a Forward Deployed Software Engineer in Syracuse, NY to adapt and deploy vision and language AI models for compute-constrained, field environments at the tactical edge. The role involves hands-on Python/Linux work with LLMs, RAG, Docker, and PyTorch, plus up to 30% travel to customer sites to build and troubleshoot systems in the field.
Senior Machine Learning Engineer at Capstan Medical builds perception for a robotic heart-valve treatment platform: image-to-robot registration and pose estimation from fluoroscopy/echocardiography, fused with robot kinematics, deployed in real time under FDA design controls. Hybrid role, onsite 3-4 days/week across Santa Cruz and West Menlo Park, CA.
Director-level role at defense tech company Allen Control Systems (maker of the Bullfrog autonomous counter-drone system) in Austin, TX. Leads the computer vision, ML, and tracking teams — translating executive AI strategy into roadmaps and standards while staying hands-on with code and models. Core stack: Python, C++, PyTorch, TensorRT, OpenCV.
Senior AI inference infrastructure engineer at Recho (Tokyo, hybrid) who independently designs and implements the inference framework for voice AI models and LLMs, optimizing throughput and GPU cost with Python, PyTorch, vLLM/SGLang, and Kubernetes/Slurm/Ray. English is the team language; annual pay ¥10M–¥20M.
Design, build, and optimize production-grade AI systems, specifically LLM-based agentic workflows on NVIDIA GPUs, using Python and modern frameworks.
Senior Software Engineer builds and optimizes a Kubernetes-native cloud platform for AI inference workloads, focusing on low-latency, high-scale GPU services and performance tuning.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Design and build embedded video and AI pipelines for Axon’s body cameras and Fusus hardware, focusing on real-time edge processing and stable SDKs for first responders.
A senior machine learning engineer designs and trains deep-learning models in PyTorch for visual servoing in precision robot manipulation, integrating them into closed-loop robot control and building real-time inference pipelines in C++/Python optimized with ONNX, TensorRT, and CUDA.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Build and scale edge ML infrastructure for Hudl’s smart cameras, compiling models to hardware-specific inference engines and deploying them globally to tens of thousands of devices.
Leads Zscaler's core Data Loss Prevention (DLP) engineering team within the Zero Trust Exchange platform, owning the architecture and delivery of high-throughput, low-latency DLP and content-inspection engines written in C on FreeBSD/Linux, spanning regex/dictionary matching and NER/ML-based inspection. The role blends people management with hands-on systems debugging and production troubleshootin
Salary: Rp 30,000,000 – Rp 35,000,000 per month About Asiacruit At Asiacruit, we connect top talent with forward-thinking organizations across industries. Our mission is to help businesses grow through smart,…
Optimize large-language-model inference engines (vLLM, SGLang, TensorRT-LLM) to boost throughput and cut latency for Cast AI’s Kimchi platform, tuning kernels, quantization, and scheduling across Kubernetes and major clouds.
О компании Роборайз - проект в области робототехники и ИИ. Мы строим роботов, которые понимают задачи на естественном языке и действуют в реальной среде. Продукт уже есть, и сейчас мы переходим к его развитию, пилотам…
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