Physical AI Engineering Lead

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As a Lead Physical AI Scientist in the EY Physical AI Lab, you will be instrumental in advancing our Physical AI research and development. You will leverage your deep R&D expertise and drive the creation of innovative products and solutions that integrate robotics and AI across diverse industries. This position offers a rare opportunity to shape how organizations unlock the potential of Physical AI fostering innovation and delivering transformative, real‑world impact.

In this role, you will be responsible for leading strategic initiatives and guiding teams in the delivery of Physical AI solutions. Your key responsibilities will include:

• Drive strategic planning and execution for Physical AI initiatives, ensuring alignment between technology solutions and stakeholder business objectives.
• Provide expert technical guidance on best practices for integrating software and hardware components within Physical AI applications.
• Collaborate with cross‑functional teams to identify opportunities for innovation and enhance AI and robotics solutions.
• Lead client showcases and strategy sessions to demonstrate Physical AI capabilities and value.
• Engage with stakeholders and clients to understand business needs, delivering strategic insights and actionable recommendations for successful Physical AI adoption.
• Develop thought leadership content, including white papers and case studies, to highlight best practices and innovative approaches in Physical AI.
• Mentor and coach team members, fostering a culture of continuous learning and professional growth.

• In‑depth knowledge of AI and robotics technologies, including awareness of emerging trends and best practices across industries.
• 3–6 years of hands‑on experience in Robotics, SLAM, Digital Twin, AI/ML, Computer Vision, Deep Learning, Imitation Learning, Reinforcement Learning, and Vision‑Language‑Action (VLA) models.
• Proficiency in Python, C++, ROS, and simulation tools.
• Strong familiarity with NVIDIA platforms such as Omniverse, Isaac, and Cosmo.
• Expertise in designing and deploying scalable AI systems that integrate hardware and software components.
• An advanced degree (Master’s or Ph.D.) in a STEM‑related field, such as Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering.

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $156,400 to $301,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $187,600 to $342,000.
  
  Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for…