Shield AI
Senior Manager, Engineering - Hivemind Reasoning (R6291)
San Mateo, California · Manager · Full-time · Posted Oct 19, 2026
- Experience
- Typically 10 years with a Bachelor’s degree, 9 years with a Master’s degree, 8 years with a PhD, or equivalent work experience; 5+ years of people management experience.
- Education
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
About the job
Leads a team developing, training, adapting, and evaluating reasoning models for unmanned autonomous systems, with a focus on mission effectiveness across platforms and edge-constrained environments.
What you'll do
- Build and lead the team developing reasoning and cognition models; define the technical roadmap for single- and multi-agent models.
- Establish training pipelines and rigorous evaluations using simulation and real-world data, and improve models through feedback loops.
- Recruit and develop AI/ML engineers, coordinate with partner teams, and communicate technical tradeoffs and model limitations.
What they ask for
- BS/MS in a related field or equivalent practical experience.
- Track record leading development and production deployment of state-of-the-art ML models.
- 5+ years of people management experience leading engineering or applied research teams.
- Expertise in foundation models, modern deep learning, training approaches, evaluation workflows, traditional AI/ML, and training frameworks such as PyTorch, JAX, or TensorFlow.
Nice to have
- PhD in a related field.
- Experience optimizing ML models for resource-constrained hardware, simulation-to-real autonomous systems, or unmanned defense systems.
Tools
VLMs, VLAs, PyTorch, JAX, TensorFlow, NVIDIA Jetson, Qualcomm, AMD
AI focus
Leads development of reasoning and cognition models for unmanned autonomous systems, including foundation-model approaches, multimodal and multi-agent capabilities, training and adaptation, and evaluation for edge deployment.
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