Robotics Engineer

About General Robotics

Responsibilities

• System Integration: Independently set up robots for real-world deployments, including integrated edge compute and sensor suites.
• Model Deployment: Deploy state-of-the-art AI models and techniques on physical hardware; lead field deployment and evaluation efforts.
• Experimental Design: Design, execute, and analyze experiments with rigorous, well-defined hypotheses.
• Data Engineering: Design data collection routines to acquire high-quality data from field tests for model fine-tuning.
• Technical Literacy: Maintain a deep understanding of model architectures and their effects on real-world performance, specifically regarding computer vision and machine learning from a robotics perspective.
• Systems Optimization: Account for common systems constraints—such as bandwidth, compute, and latency—when making modeling choices. Identify and implement optimization opportunities to improve performance on edge compute devices.
• Cross-functional Collaboration: Work closely with AI and Simulation Engineers to transition new techniques to the field; communicate critical insights and metrics from real-world testing.
• Platform Growth: Translate field-tested patterns and learnings into scalable, streamlined capabilities within the GRID platform.