Algo

Applied Materials, Inc.; Bengaluru; Presencial; INR 4.500.000 - 7.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Patent filings

Publications in conferences

Mentorship opportunities

Cross-functional collaboration

Access to advanced hardware

Descripción de la vacante

Applied Materials, Inc. in Bengaluru, India seeks a seasoned algorithm architect to lead the development and optimization of 3D reconstruction methods from concept through production deployment.

You will advance tomographic techniques for CT, XCT, and cone-beam CT, blending physics-based modeling with deep learning to boost reconstruction quality. Collaborating with hardware, software, applications, and product teams, you will mentor engineers, shape the technology roadmap, and drive innovations

Formación

• 8+ years of experience in algorithm development, computational imaging, or related field.
• Hands-on 3D reconstruction or tomographic imaging experience required.
• Production-quality reconstruction algorithms for X-ray CT/XCT or related systems preferred.
• Strong programming skills in C++ and Python; CUDA/GPU computing experience essential.

Responsabilidades

• Lead architecture, design, and deployment of 3D reconstruction algorithms from concept to production.
• Develop tomographic techniques for CT, XCT, and cone-beam CT; include analytical, iterative, model-based, and AI-assisted methods.
• Build algorithms for preprocessing, calibration, denoising, artifact correction, reconstruction, and segmentation.

Conocimientos

C++ programming

Python programming

CUDA/GPU computing

Numerical optimization

Machine learning

Educación

Master's or PhD in CS/EE/Applied Math/Physics

Bachelor's + substantial industry experience

Herramientas

CUDA

OpenCV

ITK

VTK

NumPy

SciPy

MATLAB

Descripción del empleo

Role & 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

Preferred candidate profile

• 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.

Perks and benefits

• 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.
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