
Research Scientist, Computer Vision Perception and Rendering
We are seeking a highly skilled and motivated Research Scientist to join our team at NVIDIA. As a leading company in the field of computer vision perception and rendering, we are dedicated to pushing the boundaries of what is possible with cutting-edge technology. In this role, you will have the opportunity to work on innovative projects and collaborate with some of the brightest minds in the industry. We are looking for a candidate with a strong background in computer vision, machine learning, and rendering techniques, as well as a passion for driving forward the field of visual computing. If you are driven, creative, and have a strong desire to make a significant impact in the world of technology, we encourage you to apply for this exciting opportunity.
- Conduct cutting-edge research in the field of computer vision, machine learning, and rendering techniques.
- Collaborate with cross-functional teams to develop and implement innovative projects.
- Stay up-to-date with the latest advancements and trends in visual computing.
- Utilize your strong background in computer vision and machine learning to develop new algorithms and solutions.
- Design and conduct experiments to validate and improve the performance of existing technologies.
- Analyze data and present findings to internal and external stakeholders.
- Develop and maintain relationships with external partners and academic institutions.
- Mentor and coach junior team members, providing guidance and support in their professional development.
- Publish research papers and present at relevant conferences and events.
- Continuously improve and optimize processes to ensure efficient and effective research practices.
- Collaborate with engineering and product teams to integrate research findings into new and existing products.
- Represent the company as a subject matter expert at industry events and conferences.
- Contribute to the overall vision and strategy of the company's research efforts.
- Take ownership of projects and drive them to completion with a strong sense of urgency.
- Uphold the company's standards of excellence and contribute to a positive and collaborative work culture.
Advanced Degree In Computer Science, Electrical Engineering, Or A Related Field With A Focus On Computer Vision And Rendering.
Expertise In Developing And Implementing Computer Vision Algorithms And Techniques, Such As Feature Extraction, Image Segmentation, And Object Recognition.
Proficiency In Programming Languages Commonly Used In Computer Vision And Rendering, Such As C++, Python, And Cuda.
Experience With Deep Learning Frameworks Such As Tensorflow, Pytorch, Or Caffe For Object Detection, Classification, And Segmentation.
Strong Background In Mathematics, Statistics, And Machine Learning, As Well As Experience With 3D Graphics Rendering And Visualization Techniques.
Machine Learning
Deep Learning
Computer Vision
Algorithm development
Statistical modeling
Data science
Computer graphics
Image Processing
Image analysis
Neural Networks
image recognition
Image Syn
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Research Scientist, Computer Vision Perception and Rendering in Santa Clara, CA, USA is $130,000-$170,000 per year. This may vary depending on factors such as experience, education level, and the specific company or industry.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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