Computer Vision and Deep Learning Engineer
Are you passionate about pushing the boundaries of computer vision and deep learning technology? Do you thrive in a fast-paced and dynamic environment? Then we have the perfect opportunity for you! NVIDIA is seeking a highly skilled and innovative Computer Vision and Deep Learning Engineer to join our team. As a member of our world-class engineering team, you will have the opportunity to work on cutting-edge projects and help shape the future of AI. In this role, you will be responsible for designing, developing, and implementing computer vision and deep learning algorithms and tools for a variety of applications. If you have a strong background in computer vision and deep learning, a drive for innovation, and a desire to make a significant impact, we want to hear from you. Join us and be a part of revolutionizing the AI industry!
- Design and develop computer vision and deep learning algorithms and tools for various applications.
- Keep up-to-date with the latest advancements in computer vision and deep learning technology.
- Collaborate with cross-functional teams to understand project requirements and develop solutions.
- Conduct research and experiments to improve existing algorithms and processes.
- Implement and optimize algorithms on various hardware platforms.
- Create and maintain documentation for algorithms, tools, and processes.
- Test and validate algorithms to ensure accuracy and efficiency.
- Troubleshoot and debug issues in the development and deployment of computer vision and deep learning systems.
- Continuously improve and optimize algorithms for better performance.
- Stay current with industry trends and advancements in computer vision and deep learning.
- Participate in code reviews and provide constructive feedback to team members.
- Mentor and guide junior engineers in computer vision and deep learning techniques.
- Collaborate with product teams to identify new opportunities and develop innovative solutions.
- Communicate project progress and results to stakeholders and present findings at industry conferences and events.
- Adhere to company coding standards and best practices.
- Ensure timely delivery of high-quality work within project deadlines.
- Continuously learn and experiment with new techniques and tools to improve skills and knowledge.
Strong Background In Computer Vision And Deep Learning: A Successful Candidate Should Have A Deep Understanding Of Computer Vision Algorithms And Techniques, As Well As Experience With Deep Learning Frameworks Such As Tensorflow Or Pytorch.
Proficiency In Programming Languages: A Computer Vision And Deep Learning Engineer Should Be Proficient In Programming Languages Such As Python, C++, And Cuda, As Well As Experience With Software Development Tools And Methodologies.
Experience With Nvidia Gpus And Cuda Technology: Nvidia Is A Leading Manufacturer Of Gpus And Cuda Is A Popular Parallel Computing Platform. Candidates Should Have Experience Working With Nvidia Gpus And Cuda Technology For Efficient Parallel Processing In Deep Learning Applications.
Knowledge Of Machine Learning And Neural Network Architectures: A Strong Understanding Of Machine Learning Principles And Neural Network Architectures Is Essential For Developing And Implementing Advanced Computer Vision And Deep Learning Algorithms.
Experience With Computer Vision Applications: Candidates Should Have Experience Working On Real-World Computer Vision Applications, Such As Object Detection, Recognition, And Tracking, As Well As Experience With Popular Libraries And Frameworks For Computer Vision, Such As Opencv And Dlib.
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Image Processing
Neural Networks
Object detection
image recognition
Image segmentation
Feature Extraction
Cuda Programming
Convolution
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Computer Vision and Deep Learning Engineer in Santa Clara, CA, USA is between $120,000 and $200,000 per year. This may vary depending on the specific company, experience level, and other factors.
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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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