Associate AI Engineer, Physical AI

What you'll do

• Develop and evaluate AI agents and machine-learning models for reasoning, prediction, optimization, and decision-making.
• Build knowledge-graph, multimodal, and autonomous systems that use operational data to understand industrial environments.
• Prototype AI techniques and turn promising research and models into reliable, scalable production systems.

What they ask for

• Bachelor’s degree in computer science; graduating in 2027.
• Cumulative undergraduate GPA of 3.6 or higher.
• Strong foundation in algorithms, data structures, software engineering, probability, statistics, linear algebra, and computer science fundamentals.
• Strong programming ability, particularly in Python, and understanding of machine learning and modern AI fundamentals.

Nice to have

• Experience or demonstrated interest in LLMs, deep learning, agentic AI, computer vision, NLP, reinforcement learning, optimization, knowledge graphs, robotics, or autonomous systems.
• Evidence of building beyond the classroom through research, projects, open-source contributions, hackathons, competitive programming, startups, or other engineering work.

Pay

$110,000 – $130,000 USD base salary

Tools

Python, LLMs

AI focus

Develop agentic, multimodal, and machine-learning systems for physical-world understanding, industrial reasoning, prediction, optimization, and increasingly autonomous action.