Senior Software Engineer Aerial Platform

Reposted 7 Days Ago
5 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead design and development of end-to-end reference system stack for 5G/6G baseband systems, integrating complex software modules and supporting system integration and performance testing.
Summary Generated by Built In

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.

What you will be doing:

  • Lead design and development of cutting-edge end-to-end reference system stack for 5G/6G baseband system.

  • Developing and integrating modules like PDCP, RLC, MAC for 5G/6G air interface and L3 control plane.

  • Work in lab environment to trouble-shoot and integrate complex software modules!

  • Develop software, implementing new functions in C/C++/Python/CUDA in a multi-core environment.

  • Support system integration, performance testing, system demonstration and lab trials for end-to-end system.

  • Engage with customer field trials and technical teams.

  • Be a technical bridge between engineering team and partners/customers engineering team!

  • Help in implementing missing features to unblock progress at customers/partners.

What we need to see:

  • 8+ years of LTE/5G network system experience focused on Radio Access Network.

  • Bachelor’s or Master degree in electrical or computer science or related field (or equivalent experience).

  • We are seeking candidates with end to end RAN integration knowledge.

  • Experience in building RAN products like baseband system (eNB or gNB).

  • Experience with cloud RAN, software defined networking, 5G macro and small cell deployments.

  • Familiar with NFV, software virtualization, VM, containers and VNF’s.

  • We seek experience in integrating with 5G NG and EPC cores.

  • Experience in integrating with PHY layer.

  • Direct experience in development, integration and testing of BBU functions like PHY, MAC, Scheduler, RLC, PDCP and RRC.

  • Proficient in developing code using C/C++ on Linux based platform.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 23, 2025.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.

Top Skills

C,C++,Python,Cuda
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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