Senior Engineer - Software (C++)

About Evident Digital Pathology

Evident Scientific, formerly part of Olympus Corporation, is a global leader in life-science microscopy and optical instrumentation. Following the recent acquisition of Pramana, a pioneer in Autonomous Digital Imaging, Evident has combined its world-class optical heritage with Pramana's software, robotics, and AI innovation to define the future of Digital Pathology.

Our young, high-performing engineering team has already taken the industry to its next node in autonomy—building the world's most advanced whole-slide imaging platform, deployed at the Mayo Clinic to create the world's largest digital pathology archive. Today, this technology is trusted by more than 30 top-tier medical institutions across the U.S. and Europe, powering Clinical workflows directly aiding in patient care.

As part of Evident, this team is now advancing to the next level of autonomy—moving from autonomous imaging to intelligent imaging, where scanners, data systems, and user interfaces are self-aware, adaptive, and capable of real-time AI inference at the edge.

Job Summary

We are looking for an experienced Senior Engineer to join our Imaging team at Pramana - Bangalore to design, develop, and deploy solutions for Digital Pathology applications. The ideal candidate will have 5+ years of experience in designing and developing the software with good problem solving skills.

Requirements

• Design and implement solutions for medical imaging systems.
• Integrating Imaging algorithms and Machine Vision models with industrial cameras, robotics systems, and automation tools.
• Collaborate with cross-functional teams to integrate solutions into larger production systems.
  
  

This Is What You'll Need

• 5+ years of relevant work experience
• Experience in System Design, Parallel Processing, and Multithreading
• Strong experience in C++ and Python
• Experience with GPU Programming using CUDA
  
  

Good to have

• Experience with OpenCV, Machine Learning, and building imaging pipelines