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Senior C++/CUDA Software Engineer at Applied Materials

Rehovot, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, CUDA, GPU Programming, High-Performance Computing, AI/ML Models, GPU Architecture, Memory Management, Parallel Programming, NVIDIA Profiling Tools, Debugging Tools, Compute-Intensive Workloads, Agile Environments, Git Ecosystem, CI/CD Pipelines, Real-Time Image Processing, PyBind

Industry

Semiconductor Manufacturing

Description

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. 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.

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Responsibilities

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.