Physical AI Engineering Consultant - Senior - Consulting - Open Location

Physical AI Engineering Consultant - Senior - Consulting - Open Location

Location: New York Other locations: Anywhere in Country Salary: Competitive Date: May 14, 2026

Job Description

Requisition ID: 1614625 Location: Anywhere in Country 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. Technology – Data and Decision Science – AI Native Engineering Physical AI Engineering Consultant, Senior Consultant The opportunity 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. As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. Your key responsibilities In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across 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. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. You will spend your time on key responsibilities that include: Researching and implementing scalable AI systems that meet business requirements. Enhancing data pipelines and storage for optimal data accuracy and cleanliness. Monitoring and optimizing learning processes to improve high-performance models. This position may have travel requirements as needed to engage with external clients regularly. Skills and attributes for success To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Strong analytical and decision-making skills to guide project direction. Proven 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. To qualify for the role, you must have A Bachelor's degree required (4-year degree). 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. 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. A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. Experience with MLOps methods and platforms such as MLFlow. Experience with CI/CD practices to automate the testing and deployment of software in Software-in-the-loop (SIL) environments. 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. Understanding of data structures, data modelling and software engineering best practices. Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. Experience with containerization and scaling models. Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. Proficiency in deep learning techniques. Strong foundation in mathematics, statistics, and operations research. Experience with machine learning algorithms and data architecture design. Familiarity with cloud computing and technical design optimization. Knowledge of natural language processing and image processing techniques. Understanding of continuous integration and deployment methodologies. Experience in scaling models for various applications. 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. Knowledge of sustainability practices in technology. A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. Experience fine-tuning Generative AI models.