Senior Software Engineer, Aerial Platform (5G/6G GPU)

NVIDIA Gruppe

Finland

On-site

EUR 90,000 - 140,000

Full time

14 days+

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Job summary

NVIDIA is seeking a self-motivated senior software engineer to drive development, performance and scalability of the NVIDIA Aerial CUDA Accelerated RAN platform for 5G/6G networks. This role offers the opportunity to work on cutting-edge technology on NVIDIA CPU/GPU/DPU based systems and advance the field of software-defined digital signal processing.

As an NVIDIAN, you’ll contribute to a diverse environment and help push the boundaries of cloud-native RAN.

Qualifications

  • 8+ years of work-related industry experience in software development, systems engineering.
  • MS/PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications (or equivalent).
  • Experience with PHY/MAC or baseband software in C/C++.
  • Experience with LTE/5G MAC and PHY from systems and low-level viewpoint.

Responsibilities

  • Lead design and development of end-to-end reference system stack for 5G/6G baseband.
  • Optimize CPU, GPU and NIC sub-systems for low latency and maximum throughput.
  • Collaborating with cross-functional teams to troubleshoot performance bottlenecks.
  • 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.
  • Help in implementing missing features to unblock progress at customers/partners and in benchmarking and develop/evaluate test tools for Aerial SDK evaluation.]

Skills

C/C++
Python
CUDA
GPU programming
Performance optimization

Education

MS/PhD in Engineering/Math/Physics/CS/Telecommunications

Tools

CUDA toolkit

Job description

NVIDIA is seeking a self-motivated senior software engineer to drive development, performance and scalability of the NVIDIA Aerial CUDA Accelerated RAN platform for 5G/6G networks. This role offers the opportunity to work on cutting-edge technology on NVIDIA CPU/GPU/DPU based systems and advance the field of software-defined digital signal processing.

As an NVIDIAN, you’ll contribute to a diverse environment and help push the boundaries of cloud-native RAN.

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