Perception Engineer - Multimodal & Embodied AI (R6022)

What you'll do

• Evaluate models and methods using representative sensor data and autonomy needs; build experiments and prototypes.
• Combine learned and classical approaches to improve perception capabilities such as detection, tracking, geometric vision, and sensor fusion.
• Optimize and integrate edge-deployed capabilities, contributing Python and C++ software and supporting adoption by other teams.

What they ask for

• PhD in computer vision, machine learning, robotics, or a related field, or an equivalent record of advanced research and hands-on engineering.
• Research depth in multimodal vision, visual foundation models, video understanding, open-vocabulary perception, embodied learning, or a related area.
• Strong Python skills and experience with PyTorch or a comparable ML framework.
• Experience building substantial research software; interest in production-quality C++ development.

Nice to have

• Experience bringing a research prototype into sustained use.
• Experience with robotics, real sensors, temporal data, multi-sensor perception, vision-language models, vision-language-action models, embodied AI, edge inference, or model optimization.

Pay

USD 165,000–300,000 (per-year-salary) base salary

Tools

Python, PyTorch, C++, ONNX, TensorRT, CUDA

AI focus

Applies multimodal computer vision, visual foundation models, and embodied AI research to autonomous aircraft and vehicles, including evaluating, optimizing, and deploying models on edge hardware.