Software developer

Swediumglobal; Helsinki; On-site; Full time

Job summary

A growing System Engineering firm in Helsinki is seeking a CUDA Programming Expert to develop real-time 5G signal processing algorithms using CUDA and C++. You will optimize applications for GPU performance and collaborate with cross-functional teams for efficient system integration. Strong expertise in C++ and CUDA is required for this impactful role in high-performance telecommunications software.

Qualifications

• Strong expertise in C++ and CUDA, including kernel development and memory management.
• Experience with low-level GPU programming and performance tuning.
• Ability to analyze system metrics and apply best practices for optimization.

Responsibilities

• Develop and maintain applications using C++ and CUDA to maximize GPU performance.
• Design and implement advanced real-time signal processing algorithms for 5G.
• Optimize code and algorithms for parallel execution, memory efficiency, and speed.

Skills

GPU programming

C++

CUDA

performance tuning

real-time processing

Job description

Swedium Global is the growing System Engineering and Solution Company, offers services like Semiconductor Engineering R&D Services, Embedded Systems Development, Custom Application Software Development, Web and Cloud Application Development, Testing Services, Consultancy and Outsourcing services to our clients across the globe for an onsite and offshore business model. Swedium Global is having presence in Sweden, Finland, Poland, Czech Republic and in India.

We’re expanding our team and looking for a CUDA Programming Expert to help shape the future of high-performance telecommunications software. This role is part of a projectto develop real-time 5G signal processing algorithms using CUDA and C++.

The project focuses on adapting current architecture to leverage GPU acceleration for cost-efficient, scalable solutions. Your work will directly impact real-world applications once the system reaches production.

What You’ll Be Doing

• Develop and maintain applications using C++ and CUDA to maximize GPU performance.
• Design and implement advanced real-time signal processing algorithms for 5G.
• Optimize code and algorithms for parallel execution, memory efficiency, and speed.
• Use profiling tools to identify bottlenecks and propose performance improvements.
• Collaborate with cross-functional teams to integrate GPU modules into larger systems.
• Conduct rigorous testing and debugging to ensure reliability and efficiency.

What You Bring

• Strong expertise in C++ and CUDA, including kernel development and memory management.
• Experience with low-level GPU programming and performance tuning.
• Ability to analyze system metrics and apply best practices for optimization.
• A problem-solving mindset and a passion for innovation in high-performance computing.