Applied Materials

2 weeks ago

Senior C++/CUDA Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Reposted: first listed 1 day ago

Job Summary

Design and develop enabling software for next-generation high-end processing products, making key technical decisions to ensure scalability, performance, and GPU efficiency. Join the ODC Software team to build high-throughput image processing modules in a distributed CPU/GPU environment, optimizing GPU-based computation pipelines and accelerating image processing algorithms using NVIDIA CUDA. Contribute to products from design through launch into production environments.

Location: Israel

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Initiate, design, and develop enabling software for next-generation high-end processing products.
•Make key technical decisions to ensure scalability, performance, and GPU efficiency of applications.
•Optimize GPU-based computation pipelines and accelerate image processing algorithms using NVIDIA CUDA.
•Contribute to the development of innovative products and support launch into production environments.
•Work within a collaborative Agile environment to deliver high-throughput image processing in a distributed CPU/GPU setup.

Key Requirements

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

Experience:High-performance computingAI/MLImage processingSemiconductor manufacturing

Education:Bachelor's in Software Engineering, Computer Science, or related field

Skills:TeamworkAgilityTechnical problem-solvingCollaboration

Tech Stack:C++CUDANVIDIA GPU programmingLinuxDockerAI/MLNVIDIA profilingNsightNvprofCUDA kernelsGitCI/CDAgilePythonPyBindParallel programmingGPU architectureMemory managementDebugging

Company Brief

Applied Materials

Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

2 weeks ago

Senior C++/CUDA Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Reposted: first listed 1 day ago

Job Summary

Location: Israel

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Initiate, design, and develop enabling software for next-generation high-end processing products.
•Make key technical decisions to ensure scalability, performance, and GPU efficiency of applications.
•Optimize GPU-based computation pipelines and accelerate image processing algorithms using NVIDIA CUDA.
•Contribute to the development of innovative products and support launch into production environments.
•Work within a collaborative Agile environment to deliver high-throughput image processing in a distributed CPU/GPU setup.

Key Requirements

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

Experience:High-performance computingAI/MLImage processingSemiconductor manufacturing

Education:Bachelor's in Software Engineering, Computer Science, or related field

Skills:TeamworkAgilityTechnical problem-solvingCollaboration

Tech Stack:C++CUDANVIDIA GPU programmingLinuxDockerAI/MLNVIDIA profilingNsightNvprofCUDA kernelsGitCI/CDAgilePythonPyBindParallel programmingGPU architectureMemory managementDebugging

Company Brief

Applied Materials

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor