Proception.AI · 7 hours ago
Software Engineering - AI & Robotics Infrastructure
Proception.AI is focused on building data infrastructure for robotic learning systems. The role involves developing high-performance logging pipelines and visualization tools, while collaborating with various teams to enhance data quality and usability.
Artificial Intelligence (AI)RoboticsSoftware Engineering
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Proception.AI
Our mission is to advance humanoid robotics through cutting-edge innovations, driving the evolution and capabilities of humanoid robots worldwide
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2025-03-12Pre Seed· $0.5M
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