Senior Software Engineer Aerial, Digital Twin

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art 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 amazing 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.

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.

We are building a team who will be developing a system aimed at 5G 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 also plan to apply Machine Learning / Deep Learning to address PHY / MAC challenges. We are looking for a motivated and energetic senior member to take a strategic role in the architecture and the entire software product development life cycle.

What You'll Be Doing

• As a member of Aerial Sim Team you will craft and implement innovative simulation environments (e.g., digital twins using Nvidia’s Omniverse) for Nvidia’s 5G vRAN stack.
• Work with 5G standardization delegates, 5G systems leads, ML researchers applying AI to 5G.
• Collaborate with Nvidia’s CUDA group to build the simulation tools vital to create, standardize and deploy tomorrow’s cellular networks.
• Work closely with the other groups in NVIDIA such as Omniverse teams to deliver a complete simulation capability.

What We Need To See

• BS / MS in a relevant field or equivalent experience.
• 10+ years’ experience or PhD with 5+ years’ experience or equivalent.
• Track record in the field of crafting, implementing and performing multi-cell system-level simulators, e.g., for quantifying the impact on system spectral efficiency of key choices at PHY and MAC level.
• Experience with signal processing at the PHY layer or resource allocation optimization at MAC level.
• Knowledge of channel modelling, microwave / mmwave EM propagation, CPU and GPU computing architecture key aspects.
• Must have experience in C / C++, Python and shell scripting.
• Run large multi-language software code bases.

Ways To Stand Out From The Crowd

• Experience with digital twins, or site-specific channel models based on ray-tracing and high-frequency EM frameworks.
• Attention to detail and an appetite to learn about the simulation of wireless networks at outstanding scales and accuracies.
• Strong communication and collaborative skills.

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 180,000 USD - 339,250 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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