Senior Aerial Platform Engineer – 5G/6G Baseband & CUDA

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

8 days ago

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Job summary

NVIDIA Corporation is seeking a senior software engineer to drive development, performance, and scalability of the NVIDIA Aerial CUDA Accelerated RAN platform. The role focuses on building a ground-breaking end-to-end reference stack for 5G/6G baseband systems on NVIDIA CPU/GPU/DPU platforms.

You will optimize subsystems for low latency and maximum throughput, work with cross-functional teams, and implement new baseband functions in C/C++/Python/CUDA.

Qualifications

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications (or equivalent experience).
  • 8+ years of work-related proven experience in software development, systems engineering.
  • Experience developing PHY/MAC or baseband software in C/C++.
  • Understanding of PHY/MAC layer procedures and performance tradeoffs, and overall system performance.
  • Exposure to CUDA/GPU programming is a plus.

Responsibilities

  • Lead design and develop end-to-end reference system stack for 5G/6G baseband systems.
  • Optimize CPU, GPU and NIC subsystems for low latency and high throughput; collaborate to resolve performance bottlenecks.
  • Develop software in C/C++/ Python/CUDA on GPU platforms; support system integration and lab trials.
  • Serve as a technical bridge between engineering teams and partners/customers engineering teams.
  • Engage with customer field trials and develop tools for Aerial SDK evaluation.

Skills

C/C++
Python
CUDA
GPU programming
5G/6G knowledge
PHY/MAC
System design
Performance optimization

Education

MS or PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications

Tools

CUDA tools
Lab equipment (signal generators, network analyzers)

Job description

NVIDIA Corporation is seeking a senior software engineer to drive development, performance, and scalability of the NVIDIA Aerial CUDA Accelerated RAN platform. The role focuses on building a ground-breaking end-to-end reference stack for 5G/6G baseband systems on NVIDIA CPU/GPU/DPU platforms.

You will optimize subsystems for low latency and maximum throughput, work with cross-functional teams, and implement new baseband functions in C/C++/Python/CUDA.

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