Director of AI (Physical AI)

Location: Dallas

Travel: Up to 20%

Reports To: Chief Technology Officer

About DeepHow

DeepHow is redefining how industrial knowledge is captured, structured, and shared through the power of AI. Our platform uses advanced computer vision, natural language processing, and large language models to transform expert know-how into intelligent, searchable, and multilingual training workflows. DeepHow empowers manufacturers and service organizations to digitize tribal knowledge, accelerate onboarding, and drive operational excellence at scale. With 100+ enterprise customers and deep integrations across MES, LMS, and ERP systems, DeepHow combines AI innovation with real-world industrial expertise—bridging people, process, and performance across the modern enterprise.

Position Overview

This role is designed for a senior technical leader with deep hands-on engineering experience in Physical AI systems. You will lead the development, fine-tuning, and real-world deployment of Large Language Models (LLMs) and Vision-Language Models (VLMs) that interact with physical environments and industrial systems.

Key Responsibilities

• Lead the fine-tuning and optimization of Vision-Language Models (VLMs) and Large Language Models (LLMs) to improve spatial reasoning, object interaction, and environmental understanding.

• Remain hands-on in the engineering lifecycle, including architecture design, code development, and rigorous technical reviews.

• Serve as the primary technical authority, translating complex AI architectures and autonomous system behaviors into clear, actionable insights for non-technical customers and executives.

• Travel to customer and partner sites to oversee integration of AI software with physical hardware, ensuring reliability and performance in diverse industrial conditions.

Required Qualifications

• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline.

• Extensive background as a software engineer with a proven history of building, shipping, and maintaining complex, production-grade systems.

• Demonstrated expertise in fine-tuning Vision-Language Models (VLMs) and Large Language Models (LLMs) for domain-specific applications.

• Exceptional communication skills with the ability to explain complex algorithmic concepts clearly to non-technical stakeholders.

• Operational readiness and willingness to travel for on-site testing, deployment, and partner collaboration.

• Professional experience in industrial or manufacturing environments is a strong plus, especially deploying AI in real-world production settings.

DeepHow is an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive team.