Senior DSP Communication Engineer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you ready to develop the future of computing? At NVIDIA, we’re at the forefront of innovation, pushing the boundaries of AI and accelerated computing. As a DSP Communication Engineer, you’ll join a world-class team dedicated to developing the next generation of high-speed communication systems. This is a powerful opportunity to work on modern technology and make a significant impact in a dynamic and collaborative environment!

What You'll Be Doing

• Architectural and technical build of very high-speed wireline links.
• Collaborate with peer engineers to ensure that product requirements, goals, and objectives are met or exceeded.
• Join development efforts to build DSP architecture for future chips and improve the functionality of currently shipping products.
• Work in a diverse, dynamic team to successfully implement advanced communication solutions.
• Determine key technical requirements and deliver flawless system performance.
  
  

• BS, MS, or PhD in Electrical Engineering.
• 5+ years of working experience in DSP/Communications.
• Understanding and working experience with DSP communication projects.
• Excellent Matlab development skills.
• A proven track record of system definition and algorithm development.
• Outstanding communication, interpersonal, and analytical skills in a highly dynamic matrix organization.
  
  

• Software development skills (C, C++, Python).
• Background collaborating with VLSI teams.
• Experience collaborating with analog/RF teams.