Senior C++/CUDA Software Engineer

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:

Rehovot,ISR

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Job Description – Senior C++/CUDA Software Engineer

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.

We are looking for an 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. This is an opportunity to work on cutting-edge technologies in a collaborative and technically challenging environment.

Roles & Responsibilities

• 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.
  
  

• 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.
• Proven experience in developing high-performance distributed systems.
• Proficiency in Python – strong advantage.
• Solid knowledge of CMake and complex build systems.
• Strong design, analytical, problem-solving, and debugging skills.
• Team player with experience working in Agile environments, git ecosystem, and CI/CD pipelines.
  
  

• 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.
• Hands-on experience with Kubernetes (K8s) and writing deployment configurations.