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 autonomybuilding 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 autonomymoving 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, NumPy, or similar Python libraries for image processing.
- Exposure to industrial/collaborative robots (UR, ABB, Fanuc) or robot SDKs.
- Experience with ROS, MoveIt, or other motion planning frameworks.
- Knowledge of Linux, Git, and containerized environments (Docker).
- Understanding of factory automation and system integration workflows
