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Build and deploy deep-learning models for 3D vision and robot perception, turning transformer-based research into production-ready grasping and manipulation systems for industrial robots.
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
Intern designs and implements computer-vision models for embedded systems, optimizing object detection and AI inference on edge devices like NVIDIA Jetson.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Build and simulate humanoid robots that mimic human movement, integrating AI reasoning with physical motor control using ROS 2, reinforcement learning, and NVIDIA Isaac Sim.
Lead a team optimizing CUDA and deep-learning pipelines for large language model inference, ensuring performance, stability, and cost efficiency in production.
Backend intern at Appier builds and optimizes scalable services for AdTech/MarTech products using Python, Go, or Java, with a hybrid schedule in Taipei.
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation…
About the Role Sanas is bringing real-time speech and language models on-premise — deployed at scale directly inside sovereign data centers, not served from behind a hosted cloud endpoint. It's one of the most…
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…
Develops and optimizes computer-vision models for defect detection and automated inspection, integrating deep learning with robotics and manufacturing systems.
Pre-sales role designing end-to-end AI infrastructure (GPU clusters, networking, storage, MLOps) and translating customer needs into technical proposals to accelerate enterprise AI deals across APAC.
Design and optimize ROS-based Physical AI systems, tuning Linux kernels and DDS middleware for low-latency robot autonomy and edge compute.
Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams,…
Would you like to be a part of one of the most exciting companies in technology? NVIDIA, the world leader in Visual and Accelerated Computing, is seeking a Sales Account Manager with a proven track record in selling…
Build and optimize Linux-based distributed systems and HPC workloads using C++, Kubernetes, and GPU acceleration for semiconductor inspection tools.
Research and optimize deep learning models for edge AI platforms using quantization, model compression, and efficient inference techniques in PyTorch and ONNX Runtime.
Develop and optimize parallel computational kernels for a custom Scientific Processing Unit (SPU) architecture, translating scientific algorithms into high-performance C++/Python code for HPC simulations and real hardware.
Builds the real-time runtime and infrastructure for Phantom AI’s ADAS vision system, ensuring deterministic performance across automotive ECUs and developer environments.
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