Applied Research Engineer, Neural Reconstruction job opportunity at NVIDIA.



DatePosted 26 Days Ago bot
NVIDIA Applied Research Engineer, Neural Reconstruction
Experience: Highly Experienced
Pattern: full-time
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Neural Reconstruction

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degreePhD
loacation Germany, Munich, Germany
loacation Germany, Munic..........Germany

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 tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is at the forefront of AI, developing groundbreaking technologies that transform how we interact with the world. Our team is leading the charge in crafting and refining generative models, and 3D reconstruction technologies that enable Physical AI. We are a multidisciplinary group with expertise in machine learning, software engineering, advanced algorithms, and high-performance computing. This is an outstanding opportunity to join a group that is defining the future of AI and computer vision! What you'll be doing: Develop and productize state-of-the-art solutions for neural rendering and generative models to push the limits of real-world simulations. Partner with our researchers to develop and evaluate model prototypes Adapt and fine-tune generative models for rendering extreme novel views of previously recorded robotic sensor data. Collaborate within a large and dynamic codebase building robust data and ML workflows Closely collaborating with research, model development, performance, and product teams. Contribute to NVIDIA NuRec and other core NVIDIA products and libraries. What we need to see: MS or PhD in Computer Science, Computer Engineering or a related field with 5+ years of experience in computer graphics, computer vision, or machine learning, or equivalent experience. Current with the latest research on 3D reconstruction and generative models Record of developing high quality Python code in large software projects. Proficient with modern ML Python libraries such as PyTorch or TensorFlow. Strong software engineering fundamentals, including source control, testing/validation, and containerization. Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team. Ways to Stand Out from the Crowd: Publication record at top tier ML and computer vision conferences such as CVPR, ICCV or NeurIPS (or significant patent filings). Strong coding architecture skills demonstrated through contributions to large internal or open-source projects. Experience with performance analysis and optimization, particularly for GPU-accelerated workloads. Experience with advanced CUDA development and optimization for graphics or vision applications. A history of multidisciplinary creativity and innovation, such as experience with hardware and software projects in graphics, autonomous vehicles or robotics. Come join us at NVIDIA and contribute to a team that is pushing the edges of what can be done in AI and computer vision. We’re looking for candidates who are innovative, ambitious, and ready to leave a lasting mark on the world! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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