Senior SW Engineer - GPU & NVIDIA Platform Focus
Nokia
Portugal
Posted on Dec 23, 2025
As a Software Developer in our new GPU-powered 5G Layer1 (L1) team based in Amadora, you will play a crucial role in the development of CUDA-based embedded software that powers Nokia’s 5G base station products. You will work within specialized scrum teams, focusing on areas such as GPU feature implementation using C/C++ and CUDA, code optimization for NVIDIA architectures, and continuous integration. Collaborating with talented colleagues, you will address challenging problems that impact millions of end-users.
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
About the Business Group
Join Mobile Networks (MN) and help us become the trusted partner of choice for Communications Service Providers (CSPs), as well as for non-CSP entities in sectors like utilities, transportation, public services, and defense. Your work will contribute to delivering unbeatable customer experiences in wireless connectivity.
In MN RAN R&D Unit we focus on the research and development of Radio Access Network (RAN) technologies for mobile networks. This includes developing and improving technologies like 2G, 3G, 4G, 5G and 6G, as well as future wireless standards. With global experts and diverse career paths, you’ll grow your skills, lead breakthrough projects, and shape the future of wireless technology.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
As a Layer1 Software Developer at Nokia, you will play a crucial role in designing, implementing, and optimizing GPU-accelerated embedded software for our cutting-edge 5G base station products. Leveraging the NVIDIA platform and CUDA technology, your work will directly impact the reliability and performance of LTE/5G networks used by millions, supporting Nokia's mission of driving innovation in mobile, fixed, and cloud networks. By addressing real-time processing challenges on GPUs and enhancing signal integrity, you'll contribute to a sustainable and inclusive world while collaborating with a diverse team committed to pushing the boundaries of technology and shaping the future of wireless communication.
You have:
- Several years of experience in GPU programming and CUDA development.
- Proactive and independent with strong communication skills.
- Fluency in English.
- Understanding of LTE/5G systems and L1 technology area.
It would be nice if you also had:
- Solid signal processing or physical layer processing experience on GPUs.
- Strong background in managing product quality.
- Understanding of Nokia RAN R&D and related product creation processes and tools.
- Develop and implement high-performance GPU-accelerated embedded software for Nokia's 5G base station products focusing on Layer 1 (L1) functionality using CUDA and NVIDIA GPUs.
- Collaborate within specialized scrum teams to optimize GPU code, enhance signal processing, and manage feature implementation.
- Conduct feasibility studies on 3GPP 5G features and draft detailed technical requirements.
- Lead planning and organization of tasks within global software development teams to ensure timely delivery.
- Engage in system design and architecture with GPU acceleration, contributing to robust and efficient software infrastructure.
- Oversee testing processes, including unit, component, and integration testing to maintain software quality.
- Facilitate knowledge sharing and mentorship within the team, promoting continuous learning and professional growth.
- Champion best practices in GPU-based DevOps, leveraging tools like Docker and Python for seamless integration and deployment.