Physical AI Engineering Lead

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

The Opportunity

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.

Key Responsibilities

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.

To Qualify for the Role, You Must Have

• 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.

What we offer you 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 designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.  EY accepts applications for this position on an on-going basis.  

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY  |  Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process,  please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.