Senior Engineer, Research-to-Product Perception (R6022)

What you'll do:

• Evaluate emerging models and methods against representative sensor data and autonomy needs. 
• Build prototypes and experiments that reveal strengths, limitations, and practical deployment opportunities. 
• Combine learned and classical approaches to improve detection, tracking, geometric vision, or sensor fusion. 
• Optimize and integrate capabilities for edge deployment, contributing Python and C++ software with support from experienced product engineers. 
• Help deliver tested, documented capabilities and stay involved as other teams adopt them. 

Required qualifications:

A PhD in computer vision, machine learning (ML/DL), robotics, or a related field, or an equivalent record of advanced research and hands-on engineering. 
Research depth in an area such as multimodal vision, visual foundation models, video understanding, open-vocabulary perception, or embodied learning. 
Strong Python skills and experience with PyTorch or a comparable ML framework. 
A thoughtful approach to experiments, evaluation data, and understanding why models fail. 
Experience building substantial research software, an interest in developing production-quality C++, and a collaborative approach to solving problems. 

Preferred qualifications:

Experience bringing a research prototype into sustained use. 
Experience with robotics, real sensors, temporal data, or multi-sensor perception. 
Familiarity with vision-language models, vision-language-action models, or embodied AI. 
Experience with C++, edge inference, or model optimization using tools such as ONNX, TensorRT, or CUDA. 
You don’t need to meet every preferred qualification or arrive as an expert C++ engineer. We welcome recent PhD graduates and early-career researchers, and we value technical depth, curiosity, and enthusiasm to transfer research to business value more than publication count alone.