
Senior Embedded Computer Vision Engineer
Are you a skilled engineer with a passion for both embedded systems and computer vision? Are you looking for an opportunity to work on cutting-edge technology with a world-renowned company? Look no further, because NVIDIA is seeking a Senior Embedded Computer Vision Engineer to join our dynamic team.As a Senior Embedded Computer Vision Engineer at NVIDIA, you will have the chance to work on a variety of projects that push the boundaries of what is possible in the world of computer vision. We are seeking individuals who are innovative, driven, and have a deep understanding of both hardware and software design. So if you have a strong background in embedded systems and computer vision, and are ready to take on new challenges, we want to hear from you!
- Develop and implement cutting-edge embedded computer vision solutions using NVIDIA technology.
- Collaborate with cross-functional teams to design, develop, and integrate computer vision algorithms and software for various projects.
- Conduct thorough research and analysis to identify and solve complex technical challenges related to embedded systems and computer vision.
- Design and implement efficient and optimized code for embedded systems to ensure high performance and low power consumption.
- Stay updated on industry trends and advancements in embedded systems and computer vision, and utilize this knowledge to continuously improve and innovate.
- Test and debug code to ensure functionality and reliability of embedded computer vision systems.
- Create and maintain documentation for all projects, including design documents, test plans, and user guides.
- Mentor and guide junior engineers in best practices and development processes.
- Collaborate with external partners and customers to deliver high-quality and innovative solutions.
- Participate in code reviews and provide constructive feedback to maintain code quality.
- Troubleshoot and resolve technical issues in a timely manner to ensure project deadlines are met.
- Follow project timelines and deliverables, and communicate progress and any obstacles to project managers.
- Adhere to company standards and procedures for development, testing, and deployment.
- Continuously improve processes and workflows to increase efficiency and productivity.
- Demonstrate a high level of professionalism and represent NVIDIA in a positive manner.
Advanced Degree In Computer Science, Electrical Engineering Or Related Field With A Focus On Computer Vision And/Or Machine Learning.
Minimum Of 5 Years Of Experience In Developing Computer Vision Algorithms, Preferably In The Embedded Systems Domain.
Strong Programming Skills In C++, Python And/Or Cuda.
Extensive Knowledge Of Computer Vision Frameworks And Libraries Such As Opencv, Tensorflow, Pytorch, Etc.
Proven Track Record Of Successfully Implementing Computer Vision Applications On Embedded Platforms, Such As Nvidia Jetson Or Other Similar Devices.
Machine Learning
Deep Learning
Computer Vision
Algorithm development
Image Processing
Embedded systems
GPU programming
Neural Networks
Object detection
Real-Time Systems
Image
Camera Integration
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Senior Embedded Computer Vision Engineer in Pune, Maharashtra, India is between ₹1,800,000 and ₹2,500,000 per year. This translates to approximately $24,000 to $33,000 in US dollars. However, the salary range may vary depending on factors such as experience, skills, and employer.
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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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