Robotics Engineer- Stretch Perception
Indexed description
Our team provides robots with robust environmental awareness, covering core components like object detection, state estimation, and sensor fusion. You will apply a diverse toolkit of techniques ranging from geometric processing and filtering to AI/ML to ensure our robots operate reliably in messy, human centric environments. We are a hands-on team, in which you will regularly test on physical hardware, dive deep into logs to debug performance issues, and implement the fixes that make our products better.
In this role, you will
- Implement and refine perception algorithms to solve real world sensing challenges, ensuring the robot accurately models its environment
- Debug and troubleshoot complex perception issues, using data driven approaches and log analysis to identify root causes and improve system reliability
- Write clean, efficient, and maintainable C++ code designed to run in real time on resource constrained hardware
- Integrate multimodal sensor data like LiDAR, RGB-D, and IMU to build robust representations of objects and workspace state
- Develop and maintain infrastructure, including test suites and visualization tools, to validate and iterate on your perception modules
- Analyze field data and performance metrics to identify edge cases and drive continuous improvement of our models and algorithms
- Education: BS or MS in Computer Science, Robotics, or a related field
- Experience: 2+ years of professional experience with a BS or a recently completed MS with relevant project or internship experience
- Software Engineering: Proficiency in modern C++ and a solid understanding of software development best practices like version control, unit testing, and code reviews
- Perception Fundamentals: A strong grasp of core robotics concepts like state estimation, image processing, neural networks, stereo vision, and 3D data analysis
- Problem Solver: A knack for debugging. You should be comfortable digging into sensor streams and telemetry to figure out why a robot’s world model does not match reality
- Hands on Attitude: Experience working with physical hardware or sensors. You enjoy seeing your code move a robot in the real world
- Collaborative Spirit: Ability to clearly explain technical trade-offs and work closely with navigation and manipulation teams to deliver a cohesive product
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