Physical AI Engineering Consultant - Manager - Consulting - Open Location

Location

Anywhere in Country

Overview

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. In this role you will work side‑by‑side with clients and diverse EY teams to advise on and solve challenging problems, often involving novel challenges that have not been solved before. You will 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. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes, and continuously monitor and evaluate learning processes to improve high‑performance models.

Key Responsibilities

• Leading workstream delivery and ensuring effective management of processes and projects.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.
• 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.
• Travel to engage with external clients as needed.

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.
• 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.

Qualifications

• A Bachelor’s degree required (4‑year degree). Focus on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum 5+ years of full‑time 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.
• 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.
• 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, dashboards, AI‑driven applications.
• Experience with machine learning algorithms and data architecture design.
• Familiarity with cloud computing and technical design optimization.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.
• Deep Learning expertise.
• Proficiency in Mathematics, Statistics, and Operations Research.
• Knowledge of Data Architecture Design and Modelling.
• Skills in Technical Design Optimization.
• Experience with Continuous Integration and Continuous Delivery/Deployment.
• Understanding of Natural Language Processing and Generation.
• Knowledge in Image Processing and Analysis.
• Skills in Speech and Audio Processing and Analysis.
• Ability to scale models effectively.
• Strong relationship‑building skills.
• Demonstrated client trust and value.
• Effective communication skills with impact.
• Digital fluency and emotional agility.
• Experience in hybrid collaboration.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.

Ideally, you’ll also have

• Experience in managing complex projects with multiple stakeholders.
• A strong understanding of industry trends and emerging technologies.
• Skills in data visualization and storytelling with data.
• 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 serve 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 optimise 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.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine‑tuning Generative AI models.

What We Look For

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science.

What We Offer You

• 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 $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 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.

Equal Employment Opportunity

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 .

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