Israel Multimedia-Complex (MMPLEX) Group is a distinguished collective dedicated to seeding advanced and unparalleled technologies, including video engines, streaming, time synchronization, and more. Our primary mission is to research, invent, chart the technological course, and architect both the algorithms and the hardware required to bring these innovations to fruition.
We are on the hunt for a Software Engineer who brings on board extensive experience across relevant software domains and is passionate about innovation. This is a golden opportunity to make your contribution to developing innovative technologies designed for integration into NVIDIA’s elite consumer and data center products. As a part of our team, you will play an active role in patenting new knowledge and safeguarding our intellectual property.
Join us in pioneering the data center technologies of the future!
What will you be doing:
- Design, implement, and deploy at-scale software infrastructure for training and testing AI algorithms for video processing.
- Seamlessly integrate infrastructure with cloud services for AI training and testing, using containerization technology.
- Define the system solutions for the infrastructure required for massively parallel testing of video applications.
- Design, maintain, and enhance the software CI-CD infrastructure.
- Cooperate with other software and hardware development teams in NVIDIA.
- Gather and address the requirements of the video hardware and software development teams across the company.
What we need to see:
- B.Sc. degree in Computer Science, Electrical or Computer Engineering from one of the top universities.
- 8+ years of proven experience in systems architecture or allied domains.
- Master in Python and high-level Object Oriented languages, such as C++/Java/Go/Rust.
- In-depth knowledge of system performance analysis, profiling, and optimization.
- A teammate with a positive, open-minded approach and excellent interpersonal skills for effective work in a global, multi-cultural corporate setting.
Ways to stand out from the crowd:
- Knowledge of parallel job scheduling frameworks.
- Experience with high-performance shared network storage technologies.
- Knowledge of GPU architecture and programming models.
- Proficiency with Git SCM and collaborative code development workflows.
- Knowledge of video processing.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
