Senior Computer Vision & Robotics Systems Engineer

Magnendo • Newton, MA

17h

About The Position

Magnendo is developing robotic technology to make life-saving endovascular procedures faster, safer, and more accessible. Its approach combines advanced robotics, magnetic navigation, and intelligent software to address challenges in healthcare and expand access to advanced stroke care.

The Senior Computer Vision & Robotics Systems Engineer will evaluate 3D sensing technologies and perception algorithms and define requirements for sensing and robotics subsystems. The role works across hardware, software, controls, and external partners to assess and integrate sensing and perception technologies, establish verification methods, analyze performance, and support risk analysis and design reviews. The work contributes to a quality process that combines modern hardware, software, and algorithm development practices with a regulatory V-model framework.

Requirements

• At least 6 years of experience in systems engineering, computer vision, robotics, or perception within complex electromechanical or robotic systems; medical-device experience is preferred, and industrial robotics, autonomous vehicles, or similar backgrounds are also considered.
• Strong understanding of 3D sensing modalities and technologies, including structured light, time-of-flight, stereo vision, and LiDAR, and their tradeoffs.
• Experience evaluating, benchmarking, or developing computer vision or perception algorithms.
• Comfort defining and managing requirements for algorithmic components, including work with external partners and contractors.
• Experience with requirements and test-case management or traceability tools such as Jama, DOORS, Polarion, or similar.
• Strong root-cause analysis and debugging skills across sensing, algorithms, and system integration.
• Ability to work with the judgment and independence of an early startup hire, define processes where none exist, and maintain rigor where it matters.
• Excellent written and verbal communication skills, including the ability to translate clinical and product-level needs into precise, verifiable system and algorithm requirements.
• Ability to learn quickly and work comfortably in a fast-paced environment.

Nice To Haves

• Experience with ROS or ROS2.
• Ability to build and run simulation environments for robotics or perception systems, such as Gazebo, Isaac Sim, or similar.
• Comfort with Python and Linux for tooling, prototyping, or test automation.
• Experience in the medical-device industry, ideally with interventional or robotic systems.
• Experience taking a system through a first-in-human or early-feasibility clinical trial.
• Familiarity with magnetic actuation, catheter or guidewire systems, or neurovascular or endovascular devices.

Responsibilities

• Evaluate and benchmark 3D sensing technologies, such as structured light, time-of-flight, stereo, and LiDAR, along with computer vision and perception algorithms for system use.
• Define system- and subsystem-level requirements for sensing, perception, and robotics, ensuring traceability from clinical and product needs through verification.
• Partner with third-party contractors and vendors to define, review, and validate requirements for algorithmic system components.
• Develop test methods, protocols, and acceptance criteria to evaluate sensing and algorithm performance against system requirements.
• Support integration of perception and robotics algorithms with hardware and software subsystems, working with hardware, software, and controls engineers.
• Analyze sensing and algorithm performance data, identify failure modes, and drive root-cause investigations.
• Support risk analysis and design reviews for sensing-, perception-, and robotics-related requirements.
• Contribute to a rigorous quality process that combines modern hardware, software, and algorithm development practices with a regulatory V-model framework, including standards such as IEC 62304, ISO 13485, and ISO 14971.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed