Algorithm Developer

Applied Materials
Bengaluru, Chennai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5-10 yearsEducation: mastersSkills: ["Analytical","Problem-solving","Organizational","Interpersonal communication"]

Develop and implement algorithmic modules for image processing, including problem analysis, data gathering, literature review, concept selection, and evaluation. Apply computer vision and deep learning to tasks like pattern recognition, metrology, and object detection. Prototype and integrate solutions, optimize algorithms to reduce computational cost, and influence hardware requirements. Work with machine learning frameworks (TensorFlow, PyTorch, Keras) and GPU programming using CUDA or OpenCL.

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Applied Materials
Applied Materials
2 days ago

Algorithm Developer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and implement algorithmic modules for image processing, including problem analysis, data gathering, literature review, concept selection, and evaluation. Apply computer vision and deep learning to tasks like pattern recognition, metrology, and object detection. Prototype and integrate solutions, optimize algorithms to reduce computational cost, and influence hardware requirements. Work with machine learning frameworks (TensorFlow, PyTorch, Keras) and GPU programming using CUDA or OpenCL.
Location: Bengaluru, Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead research, design, development, and implementation of algorithmic modules.
  • •Perform algorithmic concept and feasibility work for image processing algorithms.
  • •Demonstrate understanding of computer vision and machine learning/deep learning for image analysis, pattern recognition, metrology, and object detection.
  • •Prototype algorithm approaches to solve complex problems and integrate new algorithm solutions into products.
  • •Optimize algorithms to reduce computational cost and influence hardware requirements.
Travel: Low travel

Key Requirements

  • •Strong background in computer vision, image processing, and deep learning technology.
  • •Expertise in C/C++, Python, and MATLAB, with experience using TensorFlow, PyTorch, or similar frameworks.
  • •Academic background in computer vision, deep learning, machine learning, or artificial intelligence.
  • •Knowledge of GPU programming using CUDA or OpenCL.
  • •Experience in the semiconductor industry, with strong analytical and problem-solving skills.
Experience:5-10 yearsSemiconductorImage processingComputer vision
Education:Master's in Computer Science/Engineering (or similar)
Skills:AnalyticalProblem-solvingOrganizationalInterpersonal communication
Tech Stack:Computer visionImage processingMachine learningDeep learningTensorFlowPyTorchKerasCUDAOpenCLC/C++PythonMATLAB

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
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Glassdoor: 3.9
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