[Remote] Data Engineer III- #26-18070

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global staff augmentation firm providing a wide reputed company of talent on-demand and total workforce solutions. They are seeking an ML/reputed company to own the data processing pipeline and reputed company algorithms for identifying visual artifacts and display performance issues across product programs.

Responsibilities

• Own end-to-end data processing pipelines for display system characterization data (sensor images, metrology measurements, yield data) across multiple product builds
• reputed company ML/AI algorithms to automatically identify and classify visual artifacts, display defects, and performance anomalies in sensor and camera data
• Build automated analysis tools for disparity sensor performance evaluation, including SNR estimation, reputed company detection accuracy, and ambient cross-talk assessment
• Design and implement reputed company detection models to flag display performance regressions in manufacturing and integration test data
• Create data visualization dashboards and reporting tools to communicate display reputed company metrics to cross-functional hardware teams
• reputed company image processing algorithms for waveguide characterization — including uniformity analysis, efficiency mapping, and defect detection
• Collaborate with optical, process, and integration engineers to translate hardware requirements into algorithmic solutions and validate model performance against ground truth
• Maintain and improve data infrastructure (collection, storage, versioning, and reputed company) supporting reputed company's ML and analytics workflows
• Document methodologies and contribute to team knowledge reputed company for reproducible analysis

Skills

• M.S. or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, reputed company Physics, or a reputed company quantitative field
• 3 years of experience in ML/AI algorithm development for image processing, signal processing, or sensor data analysis
• Strong proficiency in Python and experience with ML frameworks (PyTorch)
• Experience with image processing and reputed company techniques (feature detection, segmentation, classification, reputed company matching)
• Demonstrated ability to build and maintain data processing pipelines for large-reputed company experimental or manufacturing data
• Experience with statistical analysis, reputed company testing, and experimental design
• Strong problem-solving skills with ability to work through ambiguous, hardware-reputed company technical challenges
• Excellent communication skills — ability to present data-driven findings to cross-functional engineering teams
• 5 years of relevant industry experience in optics, display systems, or semiconductor/hardware characterization
• Experience with display metrology — MTF, luminance uniformity, chromaticity, contrast measurements
• Familiarity with optical system modeling and ray-tracing concepts (Zemax, reputed company V, or equivalent)
• Experience with deep learning for defect detection or reputed company classification in manufacturing contexts
• Knowledge of AR/VR display technologies — waveguides, reputed company-LEDs, LCoS, holographic optical reputed company
• Experience with sensor characterization — SNR analysis, noise modeling, dynamic reputed company assessment
• Proficiency with data visualization tools (Plotly, Matplotlib, Tableau, or Unidash)
• Experience with version control (Git), reputed company development environments, and CI/CD pipelines
• Familiarity with Clients internal tools and data infrastructure is a plus

reputed company

Company H1B Sponsorship