Technical Lead - Algorithm Developer

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. 

What We Offer

Location:

Bangalore,IND

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. 

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Technical Lead – Algorithm Developer

Location: Bangalore , Chennai & Mumbai.

Role Overview

We are seeking an experienced Lead Algorithm Developer to drive the design, development, and production deployment of advanced 3D image reconstruction algorithms for next-generation X-ray inspection, metrology, and computational imaging systems. The role combines deep technical expertise, architectural ownership, hands-on algorithm development, and technical leadership to deliver high-fidelity volumetric reconstruction with strong accuracy, throughput, and robustness.

Key Responsibilities

• Lead the architecture, design, implementation, and optimization of 3D reconstruction algorithms from concept through production deployment.
• Develop and improve tomographic reconstruction techniques for CT, XCT, and cone-beam CT, including analytical, iterative, model-based, and AI-assisted methods.
• Build algorithms for projection preprocessing, calibration, denoising, artifact correction, reconstruction, registration, segmentation, and volumetric analysis.
• Combine physics-based modeling, inverse-problem optimization, computer vision, and deep learning to improve reconstruction quality and system performance.
• Optimize large-scale 3D reconstruction pipelines for GPU, multithreaded, and high-performance computing environments.
• Define validation methodology and quality metrics using simulation, laboratory, and production datasets.
• Collaborate with systems, hardware, software, applications, and product teams to translate customer needs into scalable algorithmic solutions.
• Mentor algorithm engineers, conduct technical reviews, establish engineering best practices, and contribute to the technology roadmap.
• Drive innovation through prototypes, patents, publications, and differentiated production capabilities.
  

Key Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Biomedical Engineering, or a related discipline; a bachelor's degree with substantial relevant industry experience may also be considered.
• 8+ years of experience in algorithm development, computational imaging, image processing, computer vision, or a related technical field.
• At least 5 years of hands-on experience developing 3D image reconstruction or tomographic imaging algorithms.
• Proven experience delivering production-quality reconstruction algorithms for X-ray CT/XCT, cone-beam CT, microscopy, medical imaging, industrial inspection, or semiconductor metrology systems.
• Hands-on expertise with analytical and iterative reconstruction techniques such as filtered back projection, Feldkamp-Davis-Kress, ART, SART/SIRT, and model-based iterative reconstruction.
• Experience solving inverse imaging problems using numerical optimization, regularization, statistical estimation, compressed sensing, or Bayesian methods.
• Experience with projection-domain and image-domain corrections including detector calibration, denoising, ring and streak artifact reduction, beam-hardening correction, and motion or alignment compensation.
• Experience with large volumetric datasets, 3D registration, segmentation, feature extraction, defect analysis, and quantitative metrology.
• Strong programming skills in C++ and Python; MATLAB or equivalent scientific prototyping tools are beneficial.
• Experience with CUDA/GPU computing, parallel processing, multithreading, or high-performance computing.
• Strong foundation in linear algebra, numerical methods, optimization, probability, statistics, signal processing, imaging physics, and 3D geometry.
• Experience with NumPy, SciPy, OpenCV, ITK, VTK, CUDA, or equivalent scientific and imaging libraries.
  

Preferred Qualifications

• Experience with semiconductor inspection, metrology, defect review, or advanced manufacturing systems.
• Knowledge of X-ray imaging physics, detector behavior, acquisition geometry, system calibration, and numerical simulation.
• Experience applying deep learning to reconstruction, denoising, super-resolution, segmentation, or artifact reduction using PyTorch or TensorFlow.
• Experience with point-cloud processing, surface extraction, mesh generation, multi-modal registration, or 3D visualization.
• Experience leading technical teams, mentoring engineers, owning architecture decisions, and coordinating cross-functional delivery.
• Patent filings, peer-reviewed publications, or recognized innovation in reconstruction, imaging, or computational methods.
  .

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.