Technical Lead – Algorithm Developer

Applied Materials
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 7-15 yearsEducation: mastersSkills: ["Analytical thinking","Problem-solving","Communication","Stakeholder management","Cross-functional collaboration"]

Lead end-to-end development of detection, classification, and calibration algorithms for semiconductor optical wafer inspection. Drive projects from problem refinement through production deployment, using both classical computer vision and deep learning approaches. Build and curate algorithm datasets and pipelines, benchmark and validate solutions on large datasets, and integrate optimized production-quality code into inspection tools. Collaborate across engineering and cross-functional teams and travel to customer sites for demos and issue resolution.

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FursaFursa
Applied Materials
Applied Materials
3 months ago

Technical Lead – Algorithm Developer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead end-to-end development of detection, classification, and calibration algorithms for semiconductor optical wafer inspection. Drive projects from problem refinement through production deployment, using both classical computer vision and deep learning approaches. Build and curate algorithm datasets and pipelines, benchmark and validate solutions on large datasets, and integrate optimized production-quality code into inspection tools. Collaborate across engineering and cross-functional teams and travel to customer sites for demos and issue resolution.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Drive end-to-end algorithm development projects independently, from problem statement refinement to production deployment.
  • •Develop and optimize image processing algorithms for defect detection, pattern recognition, anomaly detection, classification, and image registration on optical wafer inspection data.
  • •Design solutions that combine classical mathematical algorithms with deep learning approaches for complex inspection challenges.
  • •Build and curate large-scale semiconductor inspection datasets, including data pipelines for algorithm development.
  • •Collaborate with cross-functional teams to integrate algorithmic solutions, perform feasibility studies and benchmarking, and present technical solutions to stakeholders and customers.
Travel: Low travel

Key Requirements

  • •Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Image/Signal Processing, Computer Vision, or a related field.
  • •7–15 years of algorithm development experience for image processing and computer vision.
  • •Strong mathematical foundation and experience with classical computer vision/image processing (filtering, segmentation, feature extraction, pattern recognition, anomaly detection, image registration).
  • •Experience with deep learning approaches (CNNs, object detection, semantic segmentation) and frameworks such as PyTorch and TensorFlow.
  • •Proficiency in Python and production-quality code, including image processing libraries (OpenCV, scikit-image) and experience building data pipelines and validating/benchmarking algorithms.
Experience:7-15 yearsSemiconductor inspectionComputer visionDeep learningOptical inspectionIndustrial inspection
Education:Master's
Skills:Analytical thinkingProblem-solvingCommunicationStakeholder managementCross-functional collaboration
Tech Stack:PythonPyTorchTensorFlowOpenCVScikit-imageCNNsObject detectionSemantic segmentationC/C++JavaCUDAOpenCLMATLABGDSIIOASISDeep learningImage processingImage registration

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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