Every minute matters in stroke treatment. Magnendo is developing robotic technology to make life-saving endovascular procedures faster, safer, and more accessible. By combining advanced robotics, magnetic navigation, and intelligent software, we are tackling one of the most technically demanding challenges in healthcare while aiming to expand access to advanced stroke care for patients around the world. Join us in shaping the future of endovascular intervention.
We're looking for a Software Engineer to help design, build, and test the software behind our robotic magnetic navigation platform. You'll work across the core disciplines that make up our system: robotics and controls, computer vision and perception, and infrastructure and systems software. This is a hands-on role for an engineer who wants to grow their depth across multiple technical domains while working alongside our Principal engineers in each area.
Level and compensation for this role will be determined based on experience — candidates may be leveled as Engineer or Senior Engineer depending on years of experience and demonstrated scope of impact.
Design, implement, and test production software in one or more of our core technical areas: robotic path planning and motion control, computer vision and ML-based perception, or core software infrastructure (OS configuration, real-time orchestration, inter-process communication, CI/CD, and logging)
Build and maintain unit and integration tests as part of a highly testable, modular software architecture
Support design decisions with engineering analysis, simulation, prototyping, and hands-on testing
Help define and execute test plans and acceptance criteria for the components you own
Collaborate closely with systems and hardware engineers to integrate your work into the broader system
Participate in design reviews, risk analysis, and root-cause investigations
Develop software following a rigorous process that combines modern high-reliability practices with a regulatory V-model framework
Deepen your expertise in one or more specialty areas over time while building working familiarity with the rest of the software stack
2-8 years of production software engineering experience, with exposure to robotics and controls, computer vision and machine learning, or systems and infrastructure software, preferably in an environment with high reliability requirements or under a regulatory regime
A good collaborator who understands the importance of clear communication and humility and knows when to ask for support
A software engineer who wants to build extensible, maintainable, high-quality systems
Motivated to apply advanced technology across multiple fields to a concrete application that saves lives
Excited to be an early hire at a startup – resourceful, strong sense of ownership, able to make progress in the face of ambiguity, evolving priorities, and limited process.
Interested in working in a high-reliability, safety-critical environment; prior experience in a regulated industry is a plus but not required
Able to take ownership of discrete features or modules and see them through from design to validation
Eager to learn and grow across robotics, perception, and infrastructure domains as our team and product evolve
Comfortable with Python, C++, Linux, and GIT
Experience in the medical device industry, ideally with interventional or robotic systems
Experience hardware and real-time control systems
Familiarity with robotics development tools such as Drake, ROS, Moveit, RVIZ, Gazebo, and Isaac Sim
Experience with computer vision, 3D sensing, or medical/domain-specific imaging (e.g., fluoroscopy, ultrasound, CT/MRI)
Experience with real-time Linux or other real-time operating systems (e.g., QNX), interprocess communications, or embedded systems
Experience with continuous integration, automated testing, or cybersecurity practices
Magnendo Corp. is an equal opportunity employer and considers all qualified applications without regard to any characteristic protected by applicable law. We also participate in E-Verify. Employment offers are contingent upon successful completion of employment authorization verification (Form I-9) through E-Verify after hire.