Senior System Software Engineer

Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car empowered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an exceptional time. We believe the era of AI has begun.

We are now looking for Senior Systems Software Engineer for Intelligent Video Analytics Applications! In this role, you will develop hardware-accelerated video analytics solutions that enable rapid creation and deployment using the latest deep learning, artificial intelligence and distributed system technologies. This position offers you the opportunity to collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

What You'll Be Doing

• Implementing Intelligent Video analytics end-to-end solutions incorporating perception and analytics for heterogeneous computing platforms incorporating deep learning accelerators scaling from edge devices to enterprise systems, powered by NVIDIA Tesla and the Jetson platform.
• Develop applications implemented using NVIDIA SDKs and scale them to internal deployments to test-drive our technologies within real-world scenarios.
• Implement and extend portions of the Deep Stream SDK and APIs that interface with NVIDIA hardware-accelerated libraries for artificial intelligence, multimedia, graphics and display technologies.
• Develop applications that demonstrate the use of the SDK along with other technologies to enable use-cases for Intelligent video analytics.
• Implement and develop applications and solutions using cutting-edge state of the art distributed technologies to ensure scalability, reliability and efficiency.
  
  

What We Need To See

• Brief understanding of video/image processing, computer vision , Deep learning and Video/Audio codecs technologies.
• Good understanding of operating systems concepts, RTOS etc.
• Masters or Bachelors degree in Computer Science/ EE, or related discipline, or equivalent experience.
• 5+ years of industry experience.
• Excellent C/C++/python programming skills.
• Excellent debugging and analytical skills.
• Knowledge in scripting, UI development working experience on Linux Embedded system preferred.
• Demonstrate strong interpersonal skills, be a phenomenal teammate and be self driven.
  
  

Ways To Stand Out From The Crowd

• Experience specifically in System optimizations , Performance tuning.
• Knowledge of GPU or parallel computing platforms like CUDA.
• Python programming experience.
• Flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
• Knowledge of LLMs and VLM is a big plus
  
  

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

JR1998684