GPU Software Engineer — CUDA HPC for Imaging & AI (Hybrid)

Progressive

Eindhoven

Hybrid

EUR 45,000 - 64,000

Full time

8 days ago

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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.