Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 4
Algorithms @ 4
Machine Learning @ 4
Communication @ 4
PyTorch @ 6
CUDA @ 4
GPU @ 4
AI @ 4
Computer Vision @ 7
Robotics @ 4
Performance Analysis @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is at the forefront of AI, developing technologies in generative models and 3D reconstruction that enable Physical AI. This role sits in a multidisciplinary team working across machine learning, software engineering, advanced algorithms, and high-performance computing to push the state of the art in neural rendering and 3D reconstruction.
Responsibilities
- Develop and integrate innovative neural rendering approaches to expand real-world simulations into areas such as healthcare and smart infrastructure.
- Partner with researchers to develop and evaluate prototypes for generative video creation, segmentation, video understanding, tracking, 3D reconstruction, and related areas.
- Adapt and fine-tune generative models for rendering novel views.
- Collaborate within a large and dynamic codebase to build robust data and ML workflows.
- Work closely with research, model development, performance, and product teams.
- Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.
Requirements
- MS or PhD in Computer Science, Computer Engineering, or a related field with 8+ years of job experience in computer graphics, computer vision, or machine learning, or equivalent experience.
- Current with the latest research on 3D reconstruction and generative models.
- Hands-on technical knowledge in training and optimizing models.
- Record of developing high-quality Python code in large projects.
- Fluent with modern ML Python libraries such as PyTorch.
- Strong software engineering fundamentals, including source control, testing/validation, and containerization.
- Clear and effective communication skills and experience working in a dynamic, product- and research-focused team.
Ways to Stand Out
- 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.
- History of multidisciplinary creativity and innovation, such as experience with hardware and software projects in graphics or robotics.
- Experience in robotic systems such as autonomous vehicles or humanoid robotics.
Compensation & Benefits
- Base salary ranges (dependent on level and location):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits. See https://www.nvidiabenefits.com/ for more information.
Additional Information
- Applications for this job will be accepted at least until February 16, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer. Reasonable accommodation is available for individuals with disabilities.