Robotic Software Engineer (Perception)
About The Position
We are a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack enables our robots to understand, localize, and navigate the world in real time, and we place a strong emphasis on robustness, performance, and maintainable engineering. We are seeking a Perception Engineer to design and implement SLAM, state estimation, and computer vision algorithms for real-world robotic systems. You will work closely with robotics, controls, and systems engineers to bring perception algorithms from research into reliable, production-ready software. This role is ideal for someone who enjoys bridging the gap between theory and deployment—turning academic algorithms into efficient, well-engineered systems.
Requirements
- Strong background in robotics perception or computer vision
- Experience implementing SLAM or localization systems in practice
- Solid understanding of: 3D geometry and coordinate transformations Camera models and calibration Feature-based and/or direct visual methods Probabilistic state estimation
- Proficiency in C++ and/or Python
- Experience working in Linux environments
- Familiarity with robotics software stacks (e.g., ROS / ROS 2)
- Strong debugging and data analysis skills
Nice To Haves
- Experience with specific SLAM frameworks (e.g., ORB-SLAM, VINS, Cartographer, GTSAM)
- Experience with lidar-based perception and mapping
- Familiarity with deep learning–based perception models
- Experience deploying perception systems on real robots
- Knowledge of GPU acceleration (CUDA, OpenCL)
- Experience with dataset curation and annotation
- Publications or research background in robotics or computer vision
Responsibilities
- Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor)
- Develop and integrate computer vision pipelines for perception tasks such as feature extraction, tracking, mapping, and scene understanding
- Implement and optimize estimation algorithms (e.g., filtering, optimization-based methods)
- Fuse data from multiple sensors (cameras, IMUs, lidars, depth sensors)
- Evaluate perception system performance using real-world data and metrics
- Optimize algorithms for real-time performance and robustness
- Collaborate with controls and planning teams to support downstream autonomy
- Maintain clean, well-tested, production-quality code
- Contribute to tooling, datasets, and evaluation frameworks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
