Senior C++ / CUDA Software Engineer

Job Description – Senior C++/CUDA Software Engineer

We are looking for a senior C++/CUDA Software Engineer to join the ODC Software team, which develops high-throughput image processing modules in a distributed, high-performance CPU/GPU environment. The role involves designing and implementing advanced software infrastructure, optimizing GPU-based computation pipelines, and accelerating image processing algorithms using NVIDIA CUDA.

What’s in it for you?

This is an opportunity to work on cutting-edge technologies in a collaborative and technically challenging environment, where your ideas and designs will make a real impact.

Our Group:

The Optical Diagnostics and Control (ODC) Business Unit is a leading division within Applied Materials focused on developing advanced inspection and diagnostics solutions for semiconductor manufacturing. ODC drives innovation across hardware, software, and algorithmic domains, delivering high-performance systems that enable precise process control and yield enhancement. The team operates in a fast-paced, multidisciplinary environment, balancing deep technical expertise with strategic agility to meet evolving industry demands. Joining the ODC Software team means contributing to impactful technologies that shape the future of semiconductor fabrication.

What you'll be doing:

• As a member of this core team, you will initiate, design, and develop enabling software for our next-generation high-end processing product.
• You will make key technical decisions to ensure scalability, performance, and GPU efficiency of our applications.
• You will contribute to the development of innovative products and see them launched into production environments.

What you should have?

Must-Have:

• B.Sc. in Software Engineering, Computer Science, or a related field.
• 8+ years of hands-on experience in C++ development on Linux with Docker containers.
• Proven experience in CUDA development and NVIDIA GPU programming for high-performance computing.
• Hands-on experience running and optimizing AI/ML models on NVIDIA GPUs, including model
• Strong understanding of GPU architecture, memory management, and parallel programming paradigms.
• Familiarity with NVIDIA profiling and debugging tools (e.g., Nsight, nvprof).
• Experience optimizing compute-intensive workloads using CUDA kernels.
• Team player with experience working in Agile environments, git ecosystem, and CI/CD pipelines.

Nice-to-Have:

• Experience in real-time image processing or working with high-volume data.
• Experience with messaging or IPC infrastructures.
• Experience using PyBind for C++/Python integration.

Applied Materials Israel is home to the Process Diagnostics and Control business unit (PDC). Based in Rehovot, we develop, manufacture and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication. By playing a significant role in enabling the production of the next generation of microchips, our expertise enables our customers to transform possibilities into reality.