Summary
✨ AI‑Generated
Join an advanced engineering team developing GPU-accelerated software for demanding applications in imaging, signal processing, simulation, and AI. You will use CUDA and C++ to build efficient and scalable processing pipelines while collaborating across embedded, hardware, electronics, algorithms, and AI disciplines.
Highlights
Work on high-performance computing and GPU-accelerated solutions for advanced imaging, signal processing, simulation, and AI applications. The role offers collaboration with multidisciplinary engineering experts and is open to strong junior engineers and recent graduates.
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 workloadsOptimize performance through parallelization, memory optimization, vectorization, and kernel optimizationProfile and improve GPU workloads, including memory bandwidth, occupancy, synchronization, and CPU-GPU communicationOptimize end-to-end processing pipelines for latency, throughput, and scalabilityCollaborate 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 fieldStrong knowledge of C++ and object-oriented software developmentExperience or strong affinity with CUDA and GPU programmingStrong analytical and mathematical skillsExcellent communication skills in English
Nice to Have
Experience with signal processing, image processing, scientific computing, or AIKnowledge of high-performance computing (HPC)Experience with embedded platforms or hardware-software co-designFamiliarity 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
Interested? Feel free to reach out for more information about this exciting opportunity or apply directly.
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Let op: vacaturefraude
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Important: job fraud
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Beware of such scams:
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