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Sr. Software Engineer

3 months ago

Greater Bengaluru Area, India Pramana Full time

About Pramana:

Pramana, Inc., enables digital transformation for next-generation pathology at medical centers, pathology labs, and biorepositories. Pramana offers a first-in-class Digital Pathology as a Service (DPaaS) solution by providing a turnkey service with cutting-edge whole slide imaging systems and a scalable software platform for clinical workflows.


Pramana is a gateway for pathologists to utilize AI-enabled decision support. The company is headquartered in Cambridge, Mass., and backed by Matrix Capital Management Company, L.P., a global leader in customized investment solutions, and NTTVC, a leading firm backing diverse founders within the technology spectrum.


For more information, visit www.pramana.ai.


Requirements:

In a senior engineering role, you will research and develop imaging algorithms and collaborate with other domain experts to bring our innovations from concept to the product:

  • Build and optimise algorithm for image segmentation, classification, etc. e.g. segmentation/classification of the tissue specimen on the glass slides or whole slide image(WSI).
  • Good understanding of color spaces( RGB, HSV, etc.)
  • Collaborate with image quality evaluation team to continuously improve the WSI scan quality and algorithm performance across a wide range of specimen types.
  • Develop and maintain end to end algorithm models for imaging parameters and sequences in order to develop intelligent routines based on the content in the specimens.
  • Collaborate with platform software engineers to co-optimize algorithms and software implementation.
  • Guide junior engineers and help them achieve their goals in image processing and analytics


This Is What You’ll Need

  • Degree in EE/Computer Science/Physics with relevant emphasis in image processing or signal processing.
  • 3 - 6 years relevant hands-on experience including one Research & development cycle transferring an image acquisition and processing pipeline to a platform.
  • Solid understanding of key image processing algorithms, color space and problems around image quality.
  • Solid understanding of mathematics (probability, algebra, calculus, etc.)
  • Excellent programming skills in C/C++ and Python are required, knowledge of machine learning libraries is essential
  • Familiarity with sensor/camera component interactions


This Is What Will Make You Stand Out

  • Degree in EE/Computer Science/Physics with relevant emphasis in image processing, optics, or signal processing.
  • Track record of innovative thinking as evidenced by patents and peer-reviewed publications.
  • Understanding and preferably hands-on experience with deep learning frameworks and Neural Network processing architectures.
  • Experience with compute engines and tools for Graphics, Computer Vision, ML/AI.
  • Solid understanding of Statistical modelling, Probability and Stochastic methods