Lead Software Development Engineer - NVIDIA

About Barco
At Barco, we design cutting-edge technology that enhances everyday life through advanced visual experiences.
As a global leader in collaboration and imaging, we serve the Enterprise, Healthcare, and Entertainment industries with innovative tools that empower professionals to communicate and perform at their best. With a strong commitment to quality, reliability, and sustainability, our technologies are trusted in over 90 countries.
Backed by a team of 3,200+ employees, we continue to push boundaries and shape the future of digital imaging and connectivity.
Immersive Experiences
Barco brings stories to life through immersive technologies that captivate and inspire. Whether its in museums, theme parks, or brand experiences, our cutting-edge projection and visualization solutions create unforgettable environments that engage audiences and spark imagination.
About Image processing group @ BARCO

• The demand for extremely high-resolution, video-based installations that impress audiences with an exceptional visual experience is growing. Thats why digital image processing, screen management, and show control are key.
• Barco provides event professionals and themed venue owners with a very complete range of image processing software and hardware solutions. Unbridled creativity and ultimate ease-of-use, thats what our processors are all about. The power and flexibility can be used in different applications from live shows to meeting environments and from auditoriums to television studios. The only limit is your imagination.
  

About the Role
We are looking for an Expert Developer with deep expertise in the NVIDIA ecosystem, particularly in leveraging NVIDIA TAO Toolkit/APIs for our advanced platform. You will be responsible for designing, developing, and optimizing solutions that utilize NVIDIAs powerful technologies to enhance our AI and multimedia capabilities.
Key Responsibilities

• Design and implement solutions utilizing NVIDIA TAO Toolkit/APIs
• Integrate NVIDIA DeepStream, Rivermax, and CUDA into the platform
• Optimize performance for NVIDIA GPUs and NICs (Mellanox)
• Collaborate with AI engineers to deploy and fine-tune AI models
• Work with NVIDIAs hardware and software stack to achieve optimal
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, maintainable, and well-documented code
• Develop and maintain automated unit tests to ensure software quality
• Participate in code reviews and mentor junior engineers
• Troubleshoot, debug, and optimize existing codebases
• Stay current with industry trends and best practices in software development
• Troubleshoot and resolve complex issues related to NVIDIA technologies
• Stay up-to-date with the latest NVIDIA developments
• Document technical specifications and best practices.
  

About the Successful Candidate
The ideal candidate is an experienced developer with a proven track record in architecting, designing, and building high-scale, robust applications using NVIDIA technologies. They should be a natural collaborator and team player with a strong sense of ownership and accountability. The successful candidate will demonstrate the ability to work across cross-functional teams, mentor junior engineers, and stay current with industry trends and NVIDIAs latest advancements.
Preferred Skills And Experience
?? Skills nice to have

• Bachelors or Masters degree in Computer Science or a related field ??
• Minimum 7 years of experience with 3 to 4 years of experience working with NVIDIA technologies ??
• In-depth knowledge of NVIDIA TAO APIs, DeepStream, Rivermax, and CUDA ??
• Experience with NVIDIA GPUs and NICs (Mellanox) ??
• Strong understanding of AI and machine learning concepts ??
• Proficiency in C++11 and Python programming ??
• Excellent problem-solving and analytical skills Must have skills
• Deep expertise in NVIDIA TAO Toolkit and APIs
• Hands-on experience with NVIDIA DeepStream, Rivermax, and CUDA
• Strong knowledge of NVIDIA GPUs and NICs (Mellanox)
• Proficiency in C++11 and Python programming
• Solid understanding of AI and machine learning concepts
• Ability to design, develop, and optimize solutions for NVIDIA hardware/software stack
• Excellent problem-solving and analytical skills.
• Experience with cross-platform development (Windows/Linux/macOS)
• Exposure to Agile/Scrum methodologies
• Experience with automated unit testing frameworks
• Knowledge of performance profiling and optimization tools
• Familiarity with embedded systems or real-time applications is a plus
• Familiarity with CI/CD pipelines and version control systems (e.g., Git)