Physical AI Engineering Consultant - Senior - Consulting - Open Location

About the role

Join EY as a Senior Physical AI Engineering Consultant. You will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role involves 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.

Responsibilities

• 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 ongoing business needs of our clients.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

• 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).
• 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, analyzing, 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.
• A strong understanding of data structures, data modeling 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 mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Pay

The base salary range for this job in all geographic locations in the US is $106,200 to $194,600. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,400 to $221,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

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.

Benefits

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 total rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.