NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement!We are now recruiting top Research Scientists (in AI Algorithm)! NVIDIA is looking for scientists with strong expertise in foundational areas of artificial intelligence, such as deep learning, reinforcement learning, generative modeling, trustworthy AI, optimization, neural programming, causal reasoning, and their applications to emerging areas such as AI for science, embodied AI, multimodal learning, high-dimensional perception, etc. You are expected to have a strong mathematical foundation and be capable of analyzing and developing new AI algorithms. Interest in scientific applications, such as weather forecasting, drug discovery, and healthcare, is a plus. You are also expected to have strong programming skills to implement and run empirical studies at scale. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking publishable research. At the same time, you will also have the opportunity to have an impact on products and collaborate with teams that focus on AI products based on CUDA, physically-based simulation, graphics, natural language processing, autonomous driving, HW optimization, robotics, healthcare, and many more. NVIDIA has an open and nurturing atmosphere for research that encourages collaboration. We encourage candidates from diverse backgrounds to apply for this position.What you'll be doing:Define your research, design and implement cutting-edge machine learning techniques.Publish your original research and present at top-tier conferences and events.Collaborate with other research team members, a diverse set of internal product teams, and external researchers.Have a broader impact through transfer and/or open-source of the technology you've developed to relevant product groups.Mentor passionate research interns to explore and implement machine learning algorithms.What we need to see:Completing or recently completed a Ph.D. in Computer Science/Engineering (or equivalent experience),2+ years of meaningful experience as part of an Industrial research lab with a strong / well-cited publication record to well known international conferencesKnowledge of machine learning theory with enough depth and breadth.Strong communication skills and ability to convey research ideas to a broad audience.An impactful research record with publications in top machine-learning conferences.Experience in core AI algorithmic research is required. Interest in scientific applications is a plusExcellent programming skills in Python and familiarity with the AI stack. Knowledge of custom CUDA extensions to accelerate AI stack is a plus.Knowledge of machine learning frameworks such as PyTorch and Tensorflow.Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!The base salary range is $156,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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