The client is building intelligent robotic arms that can learn new skills quickly to address labor shortages in industries like manufacturing and logistics by automating tasks such as packaging, kitting, and folding.
Requirements
- Strong programming skills in Python (you write clean, efficient, production-ready code)
- Solid experience with PyTorch and modern ML workflows
- Systems engineering skills (networking, concurrency, performance)
- Experience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)
- experience with real-time systems (cameras, sensors, streaming)
- hands-on with AWS services (EC2, IoT, WebRTC)
Responsibilities
- Build and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.
- Integrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.
- Design and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).
- Develop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.
- Prototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.
- Systematically evaluate and test policies through lab trials, and live customer POC. Measuring performance, robustness, and safety at scale.
- Contribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.
Other
- on-site required
- Take ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.
- Work cross-functionally with product, research, and customer teams to ensure the systems you build align with real-world needs and unlock tangible customer value.
