GPU Software Engineer

Progressive; Eindhoven; Hybrid; EUR 45,000 - 64,000; Full time

Benefits offered by this job

Hybrid working model

Open to starters / recent graduates

Job summary

Progressive in the Eindhoven region is seeking a GPU Software Engineer to join an innovative team building GPU-accelerated platforms using CUDA and C++ for imaging, signal processing, and AI workloads. You will design, optimize, and validate high-performance GPU software, collaborate with hardware and algorithm teams, and contribute to scalable, low-latency pipelines in a hybrid work environment.

Ideal candidates have advanced degrees in CS/EE or related fields, strong C++ skills, and good

Qualifications

• Master's or PhD in CS/EE/CE/math/physics or related field.
• Strong knowledge of C++ and OO software development.
• Experience with CUDA and GPU programming.
• Strong analytical and mathematical skills.
• Excellent communication skills in English.

Responsibilities

• Design, implement, and optimize high-performance C++ CUDA applications and memory.
• Develop GPU-accelerated algorithms for imaging, signal processing, simulation, and AI workloads.
• Optimize performance through parallelization, memory optimization, vectorization, and kernel optimization.
• Profile and improve GPU workloads including memory bandwidth, occupancy, synchronization, and CPU-GPU communication.
• Optimize end-to-end processing pipelines for latency, throughput, and scalability.
• Collaborate with multidisciplinary teams to integrate GPU solutions into product architectures.

Skills

C++

CUDA

GPU programming

Object-oriented software development

Education

Master's degree in Computer Science

Master's degree in Electrical Engineering

Master's degree in Computer Engineering

Master's degree in Mathematics

Master's degree in Physics

Master's degree in Biomedical Engineering

Job description

GPU Software Engineer | Eindhoven Region

About the Company

Our client is a leading high-tech innovation organization in the Eindhoven region that develops advanced hardware, software, AI, and system solutions for highly regulated industries. Their multidisciplinary R&D teams work on next-generation technologies, turning innovative concepts into scalable products with real-world impact.

The Role

We are looking for a GPU Engineer to join an innovative engineering team focused on developing high-performance computing solutions for advanced imaging, signal processing, simulation, and AI-driven applications.

In this role, you will work on GPU-accelerated platforms, leveraging CUDA and C++ to develop efficient, scalable, and robust processing pipelines. You'll collaborate with experts in FPGA, embedded systems, electronics, algorithms, and AI to create cutting-edge solutions that push the boundaries of performance and efficiency.

School leavers and junior engineers with a strong academic background in GPU programming, CUDA, C++, computational science, mathematics, or related fields are encouraged to apply.

Your Responsibilities

• Design, implement, and optimize high-performance C++ CUDA applications and memory.
• Develop GPU-accelerated algorithms for signal processing, image processing, simulation, and AI workloads
• Optimize performance through parallelization, memory optimization, vectorization, and kernel optimization
• Profile and improve GPU workloads, including memory bandwidth, occupancy, synchronization, and CPU-GPU communication
• Optimize end-to-end processing pipelines for latency, throughput, and scalability
• Collaborate with multidisciplinary engineering teams to integrate GPU solutions into complete product architectures

Your Profile

Required

• Master's degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field
• Strong knowledge of C++ and object-oriented software development
• Experience or strong affinity with CUDA and GPU programming
• Strong analytical and mathematical skills
• Excellent communication skills in English

Nice to Have

• Experience with signal processing, image processing, scientific computing, or AI
• Knowledge of high-performance computing (HPC)
• Experience with embedded platforms or hardware-software co-design
• Familiarity with profiling and performance analysis tools

What's on Offer?

• Full-time (40 hours per week)
• Hybrid working model
• Eindhoven Region
• Detavast opportunity (contract-to-permanent possible)
• Open to starters / recent graduates with relevant education and projects
• Opportunity to work on cutting-edge GPU, AI, imaging, and high-performance computing technologies within an international R&D environment