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    Principal Engineer Aerial, AI and ML Platform - Santa Clara, United States - NVIDIA

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    Principal Engineer Aerial, AI and ML Platform page is loaded

    Principal Engineer Aerial, AI and ML Platform

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    locations

    US, CA, Santa Clara

    time type

    Full time

    posted on

    Posted 3 Days Ago

    job requisition id


    JR


    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:
    Seek and apply AI/ML approaches into radio access network for 5G/6G.

    Work on building platform which helps in data collection for machine learning.

    Helps in building SW layer which access/query data for training purposes.

    Define SW dependencies, identify requirements and holes to infrastructure layer/vRAN stack.

    Work with ecosystem and showcase capabilities of AI/ML platform.


    What we need to see:


    Bachelor's or Master's Degree (or equivalent experience) or PhD in Computers, Electrical Engineering or related field with 12+ years of proven experience.

    Radio access network or 5G experience at PHY, MAC and or whole stack level.

    Experience in use cases realization on Edge over wireless world such as IoT, manufacturing, agriculture, surveillance, or AR/VR.

    Strong statistical analysis expertise.

    Understanding of mathematics behind different approaches.

    Strong hands-on experience on programming languages such as Python and/or C++, R, Matlab

    Ways to stand out from the crowd:
    Strong communication and problem-solving skills.

    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 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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