Software Engineering - AI & Robotics InfrastructureProception.AI • United States
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Software Engineering - AI & Robotics Infrastructure
Proception.AI
- United States
- United States
Über
Design and implement high-throughput data logging systems for real-world robotic platforms Build visualization and analysis tools for multimodal sensor streams (vision, tactile, force, proprioception) Develop sensor calibration, time-synchronization, and validation pipelines Create data management and tooling to support large-scale AI and robotics training workflows Work with cloud infrastructure to enable scalable data storage, processing, and retrieval Collaborate closely with robotics, perception, and learning teams to improve data quality and usability Support both real-robot and simulation-based data collection pipelines Requirements
BS or MS (or equivalent experience) in Computer Science, Robotics, or a related engineering field Strong experience with Linux systems, shell scripting, and low-level system tools Familiarity with performance profiling and debugging (e.g., perf, strace, gdb) Experience building data pipelines, logging systems, or visualization tools Understanding of sensor calibration, synchronization, and data storage formats Proficiency in Rust (C/C++, Python are nice addition) Familiarity with ROS / ROS2, bag files, and common robotics data formats Experience with robotics simulators such as MuJoCo or Isaac Sim Familiarity with URDF / MJCF / SDF and simulation-robot interfaces Exposure to cloud platforms (AWS, Azure) or SIL/HIL testing setups Nice to Have
Experience with high-frequency or real-time data systems Background in distributed systems or large-scale data processing Interest in robotics learning, perception, or manipulation
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Sprachkenntnisse
- English
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