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Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
Applied AI Engineer, Inference at CoreWeave. Improve real-world performance of AI models via benchmarking, profiling, and optimization.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting…
Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by…
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with…
Senior Embedded Software Engineer owning the embedded Linux platform (Yocto BSP, kernel, device trees, drivers) on Arm SoCs for autonomous air defense mission computers, collaborating with hardware and software teams.
Overview Generative AI is transforming how people create, collaborate, and communicate—redefining productivity across Microsoft 365 for customers worldwide. At Microsoft, we operate one of the largest collaboration and…
Мы — технологическая команда, создающая инновационные решения для спорта. Наш продукт направлен на трансформацию и объективизацию судейства. Мы ищем опытного специалиста в области MLE для участия в разработке и…
Machine Learning Engineer Location: McLean, VA (hybrid); occasional travel to Durham, NC and customer sites About CoVar CoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, that…
Оператор Газпром ИД (ГИД) - динамично развивающаяся высокотехнологичная компания в составе Группы компаний Газпром. Мы создаем доступные ИТ-решения, формируем цифровое будущее и пеняем подходы к трансформации,…
Senior ML Engineer building a high-performance video analytics system for sports refereeing at Sberbank, focusing on skeleton-based temporal analysis, model optimization, and a Python framework orchestrating 15+ concurrent CV/ML models.
At Orca AI, we build AI-powered vision systems that enhance safety and decision-making for some of the world’s largest vessels. Our platform processes live video streams from multiple onboard cameras to provide…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale…
Own the embedded Linux platform (Yocto BSP, kernel, drivers) on multi-core Arm SoCs for next-generation autonomous air defense mission computers, including camera pipelines, IPC with real-time domains, and fleet-hardening.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.
Architect and build the distributed platform that powers AI agents in production, including orchestration, memory, tool calling, and workflow coordination for enterprise environments.
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