Systems Software Engineering Intern | Robotics, Computer Vision & Distributed Systems

Sourced from capd.mit.edu

Paid systems software engineering internship at Occam Vision Group in Seattle, focused on multi-camera perception, robotics, and distributed sensing platforms. Interns write and debug C++ and Python for camera pipelines, sensor interfaces, real-time data streams, and Linux/embedded systems. The role offers hands-on exposure to commercial computer vision and robotics development with mentorship from experienced engineers.

• Write, modify, test, and document C++ or Python code for camera, sensing, and robotics systems
• Integrate camera pipelines, sensor interfaces, and real-time data streams
• Develop scripts and internal tools for testing, configuration, diagnostics, calibration, or data collection
• Support software running on Linux-based and embedded Linux systems
• Reproduce, investigate, and document software defects across applications, OS, networks, cameras, sensors, and hardware
• Write unit, integration, and system-level tests and test procedures
• Collect logs, measurements, and performance data to support troubleshooting
• Participate in code reviews, design discussions, and engineering standups

• Current enrollment in or recent completion of a relevant undergraduate or graduate program
• Programming experience in C++, Python, or a similar language
• Familiarity with Linux-based development environments
• Foundational understanding of data structures, algorithms, OS fundamentals, and networking fundamentals
• Ability to read, modify, and debug code with guidance
• Interest in systems-level or hardware-adjacent software development
• Ability to communicate technical questions and findings clearly
• Willingness to work on-site with cameras, sensors, embedded computers, and prototype systems

• Modern C++ and Python
• Git or GitHub
• Linux command-line tools and Bash scripting
• Embedded Linux
• Networking protocols or socket programming
• Multithreading, concurrency, or asynchronous programming
• Distributed-systems concepts
• Cameras, video pipelines, or image processing
• OpenCV
• ROS or ROS 2
• Robotics or autonomous systems
• Computer vision or machine learning
• NVIDIA Jetson, Raspberry Pi, or similar embedded platforms
• Device drivers or hardware interfaces
• Testing frameworks, automation, or continuous integration
• Robotics clubs, research labs, Formula SAE, RoboCup, hackathons, or capstone projects