Physical AI Engineering Consultant - Manager - Consulting - Open Location

About the role

The Artificial Intelligence and Data team at EY helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of this team, you'll work closely with clients and diverse teams from EY to create well-rounded approaches to advising and solving challenging problems.

Responsibilities

• Research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises.
• Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
• Monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
• Contribute significantly to the delivery of innovative AI solutions.
• Work with a wide variety of clients to deliver the latest data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Guide clients through the complexities of modern robotics, digital twin applications, and software engineering.
• Provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet the ongoing business needs of our clients.

Requirements

• A Bachelor’s degree required (4-year degree) in Business, Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 5+ years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
• Proficiency in programming languages such as Python, C++, or Java, with experience in robotics frameworks (e.g., ROS) and simulation environments.
• Hands-on experience with NVIDIA Omniverse or similar simulation environments for robotics and digital twin applications.
• Understanding of robotic systems, kinematics, dynamics, and control algorithms.
• Familiarity with creating and managing digital twins, including modeling, simulation, and real-time data integration.
• Knowledge of machine learning techniques and algorithms, particularly in the context of robotics and automation.
• Experience using data manipulation and analysis tools (Pandas, NumPy) to derive insights from sensor data and simulations, and experience with popular ML packages such as TensorFlow, PyTorch, or similar libraries.
• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.
• Skills in technical design optimization.
• Experience with Continuous Integration and Continuous Delivery/Deployment.
• Experience with Natural Language Processing and Generation.
• Experience with Image Processing and Analysis.
• Experience with Speech and Audio Processing and Analysis.
• Experience with machine learning algorithms and data architecture design.
• Experience with containerization and scaling models.
• Experience with data visualization and storytelling with data.
• Experience with model-based systems engineering (MBSE).
• Experience with industry standards and regulations related to robotics and AI, ensuring that solutions meet safety and compliance requirements.
• Experience with hardware-in-the-loop (HIL) testing techniques to validate the performance of robotic systems in real-time by integrating hardware components with simulation models.
• Experience with testing methodologies, including unit testing, integration testing, and system testing, to ensure the reliability and robustness of physical AI solutions.
• Experience with Generative AI and Agentic AI.
• Experience with sustainability practices in technology.
• Experience in managing complex projects with multiple stakeholders.
• Experience in managing client relationships and delivering high-quality service.
• Experience with agile collaboration and commercial acumen.
• Experience in leading teams and managing change.

Qualifications

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Ability to lead teams effectively and manage change within the organization.
• Strong analytical and decision-making skills to guide project direction.
• Experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

Skills and Attributes for Success

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high-quality service.
• Ability to lead teams effectively and manage change within the organization.
• Strong analytical and decision-making skills to guide project direction.
• Experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

Pay

The base salary range for this job in all geographic locations in the US is $142,800 to $261,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,400 to $297,500. Individual salaries within these ranges are determined based on factors including experience, qualifications, and market conditions.

Schedule

This role may require travel to meet client obligations.