Senior Engineer, Research-to-Product Perception (R6022)
San Diego · USD 165,000-300,000 / year · Onsite · Posted Oct 3, 2026
At a glance
- Workplace
- Onsite
- Location
- San Diego
- Salary
- USD 165,000-300,000 / year
About the role
- Shield AI is seeking a Staff Engineer for the Hivemind Detection, Tracking, and Mapping (DTM) team to develop perception capabilities from algorithms and production C++ libraries.
- This is a full-stack perception product-development role focused on turning prototypes, research, and partner-developed technology into reusable, configurable, and well-tested product capabilities.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Bonus
- Benefits
- Equity
- temporary benefits package
Skills
- Python
- PyTorch
- C++
- ONNX
- TensorRT
- CUDA