Senior Robotics Simulation Engineer

Magnendo Corp.; Newton (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Magnendo Corp. is a Newton, MA-based startup developing robotic solutions for faster, safer endovascular procedures. We seek a Senior Simulation Engineer to design 3D simulation infrastructure and support system analysis, algorithm development, and testing.

You will build ROS/ROS2 simulation environments, model robot cart and sensors, and collaborate with engineers to ensure fidelity and regulatory compliance as the product matures.

Qualifications

• 6+ years of experience building simulation tooling for robotics or autonomous systems.
• Expertise with ROS/ROS2 and simulation environments (Gazebo, Isaac Sim).
• Strong understanding of 3D robotics simulation concepts (kinematics, dynamics, sensing).
• Proficient in Python and C++ for tooling development.
• Experience partnering with algorithm, systems, and test engineers to translate needs into simulations.

Responsibilities

• Design and develop 3D robotic simulation infrastructure to support analysis and testing.
• Build and maintain simulation environments in ROS/ROS2 to model robot cart, sensor, and behavior.
• Support early-stage analyses to optimize robot cart and sensor placement in clinical setups.
• Develop simulation models of kinematics, dynamics, sensing, and environment interactions.
• Integrate simulation tooling into test workflows and ensure fidelity to real system behavior.
• Collaborate with engineers to define requirements and ensure rigorous engineering processes in a regulated framework.
• Analyze simulation results to inform design decisions and iterate on fidelity as the system matures.

Skills

Python

C++

3D modeling

Problem solving

Team collaboration

Fast learner

Tools

ROS/ROS2

Gazebo

Isaac Sim

Simulation tooling

Job description

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.

You Will

• Design and develop 3D robotic simulation infrastructure to support system analysis, algorithm development, and system/software testing
• Build and maintain simulation environments and tooling in ROS / ROS2 to model robot cart, sensor, and system behavior
• Support early-stage analyses to identify optimal placement of the robot cart and sensors within the clinical environment
• Develop simulation models of robot kinematics, dynamics, sensing, and environment interactions to support algorithm development and validation
• Partner with systems, robotics, and software engineers to define simulation requirements and ensure simulation fidelity matches real-world system behavior
• Integrate simulation tooling into test and validation workflows to support system and software testing
• Analyze simulation results to inform design decisions, and iterate on simulation fidelity as the system matures
• Contribute to a rigorous engineering process that blends modern simulation and software practices with a regulatory V-model framework as applicable (e.g., ISO 13485, ISO 14971)

You Are

• 6+ years of experience building simulation tooling and environments for robotics, autonomous systems, or complex electromechanical systems
• Strong experience with ROS / ROS2 and building simulation environments (e.g., Gazebo, Isaac Sim, or similar)
• Comfortable with 3D robotics simulation concepts: kinematics, dynamics, sensor modeling, and environment/world modeling
• Strong software engineering skills (e.g., Python, C++) to build and maintain simulation infrastructure and tooling
• Experienced partnering with algorithm, systems, and test engineers to translate analysis needs into simulation capabilities
• Strong root-cause analysis and debugging skills across simulation, algorithms, and system integration
• Able to operate with the judgment and independence of an early startup hire — comfortable defining process where none exists yet, while holding the line on rigor where it matters most
• An adept, fast learner who is comfortable in a fast-paced environment

Bonus Points

• Experience working in regulated environments (e.g., medical device, aerospace, automotive)
• Experience with sensor placement/coverage analysis or system layout optimization
• Experience in the medical device industry, ideally with interventional or robotic systems

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.