Senior Software Engineer Aerial Platform

Reposted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead design and development of software-defined basestation functions for 5G/6G systems. Optimize performance, troubleshoot bottlenecks, and collaborate on system integration and testing.
Summary Generated by Built In

NVIDIA Aerial CUDA Accelerated RAN is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems. We are seeking a self-motivated senior software engineer to drive development, performance and scalability of our platform. This position offers the opportunity to work on cutting-edge technology for 5G and 6G networks, using NVIDIA's world-class compute platforms to advance the field of software-defined digital signal processing stack!

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.

  • Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum throughput

  • Collaborating with cross-functional teams to troubleshoot performance bottlenecks in CPU, GPU and NIC sub-systems

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

  • Develop software, implementing new baseband functions in C/C++/Python/CUDA on a GPU platform.

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

  • Be a technical bridge between engineering team and partners/customers engineering team. Engage with customer field trials and technical teams.

  • Help in implementing missing features to unblock progress at customers/partners and in benchmarking and develop/evaluate test tools for Aerial SDK evaluation.

What we need to see:

  • Our ideal candidate has a wireless communication systems or digital signal processing background, a passion for building real-world carrier-grade communication systems, and industry experience developing PHY/MAC layer or base band unit (BBU) software in C/C++.

  • Understanding of the PHY/MAC layer procedures and typical performance tradeoffs, as well as overall system performance.

  • Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view. Ability to switch between high-level systems view and low-level detail view of complex wireless systems.

  • Comfortable using wireless lab equipment such as signal generators, network analyzers, power meters, etc. Exposure to CUDA/GPU programming is a plus.

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications (or equivalent experience)

  • 8+ years of work-related industry experience in software development, systems engineering.

  • Understanding of telecommunications radio device design and implementation in a regulated industry.

  • Ability to work as an individual contributor or take a technical leadership role. Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.

  • Experience in the telecommunications industry or with customers/partners in the telecommunications domain.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. Strong analytical and problem-solving skills.

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/

Top Skills

C/C++
Cpu
Cuda
Dpu
Gpu
Python
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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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