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Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
Develops and optimizes camera imaging software for Apple devices, integrating computer vision, machine learning, and GPU-based image processing to enhance photo and video quality.
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…
DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons…
The Lead Machine Learning Engineer will design and train state-of-the-art models for autonomous driving, simulation, and ML platforms. The role involves leading small teams to develop foundation and generative world models for commercial-scale robotics applications.
Build and own CI/CD, data pipelines, and cloud infrastructure for a robotics AI research team using AWS, Kubernetes, and GitHub Actions to enable reliable, reproducible research deployments.
Member of Technical Staff - Simulation About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Member of Technical Staff - ML Performance About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Develops 3D computer vision and spatial AI systems for wearable AR tech in construction, focusing on scene understanding, BIM integration, and embedded deployment to enable real-time object recognition and quality assurance on-site.
The AI Platform & Machine Learning Engineer will build and maintain scalable infrastructure for training, deploying, and monitoring machine learning models for wearable construction technology. The role focuses on the end-to-end ML lifecycle, utilizing tools like Python, PyTorch, and containerization to bridge the gap between research and production.
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.
We are looking for a technically oriented QA & System Validation Student to join our team and work on advanced automotive perception technologies based on Stereo Vision and Stereo Camera Calibration . This is a…
Osprey Systems is seeking a Perception/ML Engineer to build and optimize multi-sensor fusion engines and classification models for counter-drone technology. The role focuses on edge deployment and real-time inference in challenging, resource-constrained environments.
Designs, maintains, and optimizes hybrid on-premise/cloud HPC platforms for scientific/AI workloads, focusing on Linux infrastructure, job scheduling, and automation to ensure high availability and performance.
ABOUT THE ROLE In this role, you will lead the design, development, and delivery of advanced robotics solutions addressing complex real-world challenges at scale. Working within SoftServe’s Robotics Group, you will…
Наша команда разрабатывает вычислительное ядро для направления автономного транспорта. Ищем сильного CUDA-разработчика. Откликайтесь, если профессионально пишете на CUDA и C++, понимаете модель исполнения GPU и…
The AI Engineer will optimize and deploy machine learning models, including LLMs and vision models, across heterogeneous hardware platforms like CPUs, GPUs, and NPUs. The role focuses on improving inference performance through techniques such as quantization, model compression, and hardware-specific acceleration.
Build AI inference systems that serve large-scale models with extreme efficiency, optimizing GPU kernels and compilers, working with vLLM, CUDA, and other AI/ML technologies to push the frontier of accelerated computing.
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