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Leads hands-on Developer Relations for India's AI Labs, helping researchers and teams adopt NVIDIA platforms for model development, training, optimization, deployment, and production inference; core technologies include NVIDIA AI tools like NIM, Triton, CUDA, and TensorRT.
Lead Developer Relations for NVIDIA in India, engaging AI Labs and conglomerates to adopt NVIDIA’s AI platforms through demos, workshops, and technical guidance.
Build and train 4D world models that reconstruct dynamic scenes from multi-camera video and sensor data, turning real-world captures into high-fidelity simulation environments for autonomous vehicles and Physical AI.
Build and deploy AI-driven solutions like GenAI copilots and predictive models to solve banking challenges and deliver measurable business value.
Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
A senior Data Scientist who builds and deploys AI-driven simulation models for engineering/manufacturing industries, bridging technical teams and customers to deliver production-ready predictive tools.
Optimizes large-scale ML workloads on GPU/CPU infrastructure for G-Research’s quantitative finance platform, profiling, benchmarking, and tuning distributed jobs to improve efficiency and scalability for researchers.
Design and implement AI models for aquaculture using computer vision and deep learning to analyze aquatic species traits from imaging data.
Build and deploy AI models (LLMs, NLP, computer vision) for insurance use cases using Python, TensorFlow/PyTorch, and cloud platforms like Azure.
Develops data-driven analytics and predictive models to optimize business decisions, customer experiences, and operational efficiencies for a global healthcare/insurance company focused on health and longevity solutions.
Develops pricing optimization models using deep learning to forecast outcomes, driving profitability and efficiency for a retail giant. Bridges technical solutions with business stakeholders to improve customer experience and operational decisions.
The Technical Program Manager will lead deployment readiness for new rack-scale AI platforms, coordinating across NVIDIA engineering and OEM partners to ensure successful product launches. This role involves managing hardware, software, and process readiness from engineering samples through to mass production.
We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for…
NVIDIA is seeking Ph.D. students for research internships focused on generative AI, including multimodal models, diffusion models, and large language models. Interns will design algorithms, collaborate with research teams, and contribute to prototypes or publications while working with advanced AI technologies.
NVIDIA is seeking interns for their Deep Learning Computer Architecture teams to work on projects involving GPU/CPU architecture, performance modeling, and parallel programming. Interns will utilize technologies such as C++, CUDA, and deep learning frameworks to solve complex computing challenges.
The Deep Learning Performance Architect will analyze and optimize performance for LLM workloads on NVIDIA's hardware architectures. This role involves developing analytical models and collaborating with software and hardware teams to influence the design of next-generation inference products.
NVIDIA is seeking a Ph.D. research intern in Taipei to develop and implement novel deep learning methods in areas like VLA, 3D vision, and speech LLMs. The role involves conducting original research, publishing findings, and collaborating with internal and external teams.
Ph.D. intern designing and implementing novel computer vision and deep learning methods, collaborating with researchers, and transferring results to product groups using Python, C++, CUDA, and frameworks like PyTorch or TensorFlow.
NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
Job Description Your primary responsibility as an Associate Technical Support Engineer will be to provide remote support of Cognex designed systems and solutions to system integrators or direct end user customers. This…
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