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 visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding users in the world - scientists, designers, artists, and gamers. 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 and determination and team, which guide us to be the best we can be.
We are building a team who will be developing a system aimed at 5G/6G wireless products based on the power of our GPU. Enabling 5G PHY/MAC layers, we will be using traditional signal processing algorithms but parallelizing them on the GPU. We plan to apply Machine Learning / Deep Learning to address PHY/MAC challenges. We are looking for a motivated and energetic principal member to take a strategic role in the architecture and the entire software product development life cycle.
What you will be doing:
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Solid theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms and channel coding
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Experience in LTE/5G NR L2 scheduler algorithm design
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Experience with wireless algorithm performance characterization and analysis
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Wireless modem design, development and commercialization experience
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Seek and apply AI/ML approaches into radio access network for 5G/6G.
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Define SW dependencies, identify requirements and holes to infrastructure layer/vRAN stack.
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Work with ecosystem and showcase gains of new approaches.
What we need to see:
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Bachelor's or Master's Degree (or equivalent experience) or PhD in Computers, Electrical Engineering or related field with 12+ years of proven experience.
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Radio access network or 5G experience at PHY, MAC and or whole stack level.
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Experience in use cases realization on Edge over wireless world such as IoT, manufacturing, agriculture, surveillance, or AR/VR.
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Strong statistical analysis expertise.
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Understanding of mathematics behind different approaches.
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Strong hands-on experience on programming languages such as Python and/or C++, R, Matlab
Ways to stand out from the crowd:
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Strong communication and problem-solving skills.
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Ability to excel in a fast paced and collaborative environment.
With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), 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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
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.
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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.”