Senior Robotics Software & Research Intern

QuanRobotics is building the global software layer for robotics and Physical AI.

We are looking for a Senior Robotics Software & Research Intern who is ready to take ownership of meaningful technical work across open-source robotics, simulation, research, and integrated proof-of-concept projects.

Senior Interns work with greater independence than Junior Interns and may contribute to architecture decisions, technical design, benchmark development, software releases, research experiments, code review, and mentorship.

Possible project areas include:

• QR-Sim

• QR-Perception

• QR-RobotData

• QR-WorldBench

• ROS 2 infrastructure

• Robotics simulation and digital twins

• Warehouse or factory simulation

• Autonomous mobile robot simulation

• Robot perception and computer vision

• Industrial inspection

• Edge AI deployment

• Robot-learning benchmarks

• World-model experiments

• Sim-to-real evaluation

• Dataset engineering

• Research reproducibility

• Integrated proof-of-concepts

Key responsibilities:

• Own an assigned technical module or project area

• Prepare technical design and architecture documents

• Convert project objectives into implementable GitHub issues

• Build reusable and well-tested software components

• Review pull requests and maintain engineering standards

• Design and run robotics or AI experiments

• Develop simulation environments and evaluation pipelines

• Build datasets, benchmarks, or model-training workflows

• Support ROS 2 and simulator integration

• Develop perception or edge-AI components

• Analyze technical limitations and failure cases

• Mentor Junior Interns and external contributors

• Contribute to open-source projects

• Support technical reports, demonstrations, releases, workshops, and POCs

Minimum requirements:

• Strong Python programming ability

• Practical software or research project experience

• Working knowledge of Git and GitHub

• Ability to independently debug technical problems

• Experience writing structured technical documentation

• Understanding of testing and reproducibility

• Ability to review other contributors' work

• Strong communication and time-management skills

• Ability to support or mentor less-experienced contributors

Preferred experience:

Experience in several of the following is desirable:

ROS 2, Gazebo, NVIDIA Isaac Sim / Isaac Lab, MuJoCo, OpenCV, PyTorch, Hugging Face, LeRobot, reinforcement learning, imitation learning, computer vision, robot perception, autonomous navigation, digital twins, Docker, CI/CD, ONNX, NVIDIA Jetson, dataset engineering, experiment tracking, or research-paper preparation.

Applicants are not expected to have every listed skill.

Who should apply:

Master's or PhD students, advanced undergraduate or experienced final-year students, robotics developers, AI or computer-vision engineers, research assistants, open-source contributors, and engineers working in autonomous systems, simulation, or embedded AI.

Internship structure:

• Duration: 3 or 6 months

• Work mode: Remote or hybrid depending on project and location

• Regular technical reviews and code reviews

• Research/design discussions

• Mentorship activity

• Monthly technical demonstrations

• Consistent delivery throughout the internship

The internship is portfolio-first and contribution-driven. Senior Interns may build verifiable evidence through GitHub contributions, technical designs, architecture documents, code reviews, releases, simulation environments, benchmarks, dataset/model assets, research experiments, technical reports, POCs, and demonstrations.

Application requirements:

Please submit:

• Updated resume

• Short statement of interest

• GitHub profile

• Portfolio or project links

• Relevant publications, if applicable

• Preferred internship duration

• Weekly availability

• Preferred technical project area

• A short description of one project you independently built or led

Shortlisted candidates may be invited to a technical discussion or small evaluation task.

Apply: https://quanrobotics.org/#careers or send us your application package via email ([email protected]) with Subject as "JOB ROLE" Application

Learn more about QuanRobotics: https://quanrobotics.org

Important: This is not a passive or certificate-based internship. QuanRobotics does not provide a generic participation/completion certificate. Research authorship, patent inventorship, paid roles, references, or future opportunities depend on genuine contribution, performance, project requirements, and organizational capacity.