EY Physical AI Engineering & Strategy - Senior Consulting Open Location 

United States, New York, New York 

923741609

Physical AI Engineering & Strategy, Senior Consultant

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your key responsibilities

You will collaborate with clients to deliver advanced robotics and digital twin solutions, leveraging the latest technologies. Your teams will design and build scalable systems that unify, enrich, and derive insights from various data sources within a broad technology landscape. You will guide clients through the complexities of modern robotics, digital twin applications, and software engineering. We'll look to you to provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet ongoing business needs of our clients.

To qualify for the role you must have

• Bachelor's degree and 3-6 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.
• Experience designing, building, and maintaining robotics systems and digital twin models.
• 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.
• Understanding of various sensors (e.g., LIDAR, cameras) and actuators used in robotic systems.
• 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.
• Proficiency 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.
• Experience using DevOps tools like GIT, Azure DevOps, and Agile methodologies to develop and deploy analytical solutions.
• Familiarity with CI/CD practices to automate the testing and deployment of software in Software-in-the-loop (SIL) environments.
• Understanding of data structures, data modelling and software engineering best practices.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Ideally, you'll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Advanced degree in Robotics, Computer Science, Mechanical/Aerospace Engineering, Electrical Engineering, or other quantitative field; graduate school years can act as a substitute for some of the industry years requirement.
• Previous experience in research projects related to robotics, automation, or digital twin technologies (including academic research), with contributions to academic journals or conferences, showcasing research findings and technical expertise.
• Experience with computer vision techniques and libraries (e.g., OpenCV) for object detection, tracking, and recognition.
• Proficiency in designing and implementing control systems for robotic applications, including PID controllers, state-space control, and adaptive control techniques.
• Ability to develop and optimize algorithms for tasks such as path planning, motion planning, and decision-making in robotics.
• 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.
• Knowledge of Model-Based Systems Engineering (MBSE) methodologies to support the design, analysis, and verification of complex systems.
• Familiarity with industry standards and regulations related to robotics and AI, ensuring that solutions meet safety and compliance requirements.
• Proficiency in testing methodologies, including unit testing, integration testing, and system testing, to ensure the reliability and robustness of physical AI solutions.
• Strong understanding of and/or interest in Agentic AI/Generative AI.

What we look for

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.