[Hiring] Head of Physical AI @G2i Inc.

Role Description

Our client is looking for a Head of Physical AI to establish and lead its AI research and engineering function. You will decide which Physical AI problems the company pursues, define how results are evaluated, and remain directly involved in the most important technical work. You will connect four areas that are often treated separately:

• Multimodal and embodied data
• Transformer-based models and robot policies
• Rigorous offline and real-world evaluation
• Deployment on physical systems

This is a player-coach role. During your first year, at least half of your time will be spent on direct technical work:

• Designing models and experiments
• Writing or reviewing code
• Inspecting data
• Debugging training runs
• Analyzing failures
• Reviewing robot rollouts

You will also build a small, focused team of researchers and engineers as the work requires it.

Qualifications

• Deep, hands-on Transformer expertise
• Physical AI experience
• Hands-on technical ability
• Technical leadership

Requirements

• Strong Python engineering skills
• Direct experience with PyTorch or an equivalent deep-learning framework
• Ability to read and debug unfamiliar model and training code
• Experience designing controlled experiments and analyzing rollout failures
• Experience working with large multimodal datasets
• Sound judgment around compute, memory, training stability, inference latency, and cost

Benefits

• Remote work flexibility
• Full-time employment
• Opportunity to lead and build a team

Company Description

Our client builds the data, evaluation, and deployment layer for Physical AI. The company works across multimodal robot and human data, annotation and assurance, model evaluation, and the systems that turn physical-world experience into useful robot behavior.

Miraxis is hardware- and model-agnostic. What matters is whether a dataset, model, or method produces a measurable improvement on a real task.