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Principal Engineer - AI RAN and 6G Architecture

AT NVIDIA
NVIDIA

Principal Engineer - AI RAN and 6G Architecture

Santa Clara, CA

Our technology has no boundaries! NVIDIA is building the world's most groundbreaking and innovative compute platforms for the world to use. It's because of our work that scientists, researchers, and engineers can advance their ideas. At its core, our accelerated computing platforms not only enable an outstanding computing experience but is also energy efficient. It's not just technology though! It is our people, some of the brightest in the world, and our company culture make NVIDIA one of the most fun, innovative, and multifaceted places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence, determination, and team, which guide us to be the best we can be.

We are developing an accelerated platform for 5G/6G virtual Radio Access Network (vRAN) with a focus on AI in RAN utilizing Machine Learning / Deep Learning techniques to deliver unparalleled performance and spectral efficiency. We are looking for a motivated and energetic Principal Engineer / Distinguished Engineer to lead the next generation architecture for 6G.

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What you will be doing:

  • Seek and apply AI/ML approaches into radio access network (RAN) for 5G adv. and 6G.
  • Work on new use cases for 6G such as Integrated Sensing and Communications (ISAC), Digital Twins, Semantic Communications and more.
  • Rapid prototyping of new algorithms to establish value proposition and benefits.
  • Drive system architecture, requirements, design, development, and performance optimizations for AI in RAN software stack.
  • Work with the ecosystem, showcase gains of new approaches and drive a strong industry collaboration.

What we need to see:

  • BS, MS or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • 12+ years of proven industry experience.
  • Deep technical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms and channel coding.
  • Proven experience in 5G NR PHY/L1 and L2 mac-scheduler algorithms design and development.
  • Expertise in architecting and developing vRAN application and proven expertise in system level optimizations.
  • Experience in use cases realization on Edge over wireless world such as IoT, manufacturing, agriculture, surveillance, or AR/VR.
  • Solid foundation in statistical analysis.
  • Strong understanding of mathematics behind RAN algorithms.
  • Strong hands-on experience on programming languages such as Python and/or C++, Matlab

Ways to stand out from the crowd:

  • Strong communication and problem-solving skills.
  • A strong body of work at the intersection of AI, Cloud and Wireless technologies.
  • Demonstrated success in leading impactful innovations and converting them to commercial products.
  • Proven ability to excel in a fast paced and collaborative environment.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our teams are rapidly growing.

The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Client-provided location(s): Santa Clara, CA, USA
Job ID: NVIDIA-JR1991303
Employment Type: Full Time