
Edge AI Visionary
1 day ago
The selected individual will be responsible for designing, implementing, and integrating short and long-horizon planning systems for real-world robotic applications.
They must also prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the edge.
Furthermore, the successful candidate will contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
The ideal candidate will work with real-world and simulated sensor data to test and refine models, and contribute to internal datasets and benchmarking tools.
Responsibilities include participating in project planning, code reviews, and architectural discussions, as well as taking ownership of technical areas and delivering high-quality, reliable implementations.
Requirements- Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
- Knowledgeable in robot locomotion, kinematics, and dynamics.
- Proficient in DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
The successful candidate will have 6+ years of experience in AI, robotics, or computer vision, as well as proficiency in Python, ROS, PyTorch, or TensorFlow.
A skilled communicator who can collaborate with multi-disciplinary teams is highly valued.
This is a hands-on role that blends applied research with production-grade engineering.
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