Senior Engineer - Robotics

Location: Bengaluru

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.

Role Overview :
We are seeking a Senior Engineer – Robotics Workflows & Motion Systems who can take ownership of analyzing, designing, and improving motion workflows for robotic platforms. The ideal candidate will have a solid understanding of robot kinematics and inverse kinematics, experience in Python-based automation, and an aptitude for understanding vision-integrated robotic systems.
You will work closely with hardware, software, and vision teams to ensure the system performs optimally across various configurations and field conditions.

Key Responsibilities:

Analyze and enhance robot  motion reachability  and workspace coverage for different mechanical setups.
Apply principles of  forward and inverse kinematics  to validate and fine-tune robotic movements.
Study existing  algorithms, calibration flows, and motion logic  to identify improvement areas.
Design and implement new or adapted workflows to support hardware or software changes.
Develop and maintain  Python-based workflow and automation scripts , ensuring code modularity and clarity.
Collaborate with  computer vision  and hardware teams to integrate vision-based feedback into robotic workflows.
Debug and optimize motion routines using real-world test data and feedback from deployed systems.
Document workflows, design rationale, and improvements for cross-functional reuse.
Required Skills &

Qualifications:

Bachelor's degree in  Robotics, Mechanical, Mechatronics, Electronics, or Computer Science .
3-8 years of experience working on  robotic systems, motion control, or automation software .
Sound understanding of  robot kinematics, inverse kinematics, and coordinate transformations .
Proficiency in  Python  for workflow automation, algorithm implementation, and data analysis.
Ability to analyze system-level code and contribute to algorithmic improvements.
Strong analytical, debugging, and documentation skills.
Preferred

Skills:

Experience with  vision-guided robotics or computer vision  applications such as calibration, object detection, or alignment.
Familiarity with  OpenCV, Num Py, or similar Python libraries for image processing .
Exposure to  industrial/collaborative robots (UR, ABB, Fanuc)  or robot SDKs.

Experience with  ROS, Move It , or other motion planning frameworks.
Knowledge of  Linux, Git , and containerized environments (Docker).
Understanding of  factory automation  and  system integration workflows