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

NVIDIA

Helsinki

On-site

EUR 120,000 - 190,000

Full time

14 days+
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Job summary

NVIDIA is seeking a senior software engineer in Helsinki to drive development of a CUDA-accelerated RAN platform. You will design and optimize a 5G/6G baseband stack, working across CPU, GPU, and NIC sub-systems to meet low-latency and high-throughput targets.

The role emphasizes C/C++, Python, and CUDA on GPU hardware, with collaboration across teams and customer-facing trials. A strong background in PHY/MAC and wireless DSP is essential.

Qualifications

  • Experience developing PHY/MAC or baseband software for wireless systems.
  • Strong C/C++ and Python coding skills and debugging capabilities.
  • Hands-on CUDA/GPU programming experience is a plus.
  • Experience with LTE/5G MAC/PHY knowledge is preferred.
  • MS or PhD in related field required or equivalent experience.

Responsibilities

  • Lead design and development of end-to-end 5G/6G baseband system stack.
  • Optimize CPU, GPU, and NIC sub-systems for low latency and high throughput.
  • Collaborate with cross-functional teams to diagnose performance bottlenecks.
  • Develop software with baseband functions in C/C++/Python/CUDA on GPU.
  • Assist system integration, testing, and lab demos for end-to-end system.
  • Engage with customer/partner engineering teams during field trials.
  • Implement missing features to unblock progress and develop test tools for Aerial SDK.

Skills

C/C++
Python
CUDA
GPU programming
DSP
5G/6G knowledge
PHY/MAC experience

Education

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

Tools

CUDA Toolkit
GPU debugging tools

Job description

NVIDIA is seeking a senior software engineer in Helsinki to drive development of a CUDA-accelerated RAN platform. You will design and optimize a 5G/6G baseband stack, working across CPU, GPU, and NIC sub-systems to meet low-latency and high-throughput targets.

The role emphasizes C/C++, Python, and CUDA on GPU hardware, with collaboration across teams and customer-facing trials. A strong background in PHY/MAC and wireless DSP is essential.

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