Physical AI Engineering & Strategy - Senior - Consulting - Open Location

New York, NY, US, 10001-8604

EY

Tarjoamme palveluita, jotka auttavat ratkaisemaan asiakkaidemme vaikeimmat haasteet

View all jobs at EY

Apply now Apply later

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.

 

Physical AI Engineering & Strategy, 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.  

 

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.

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. 

 

Skills and attributes for success

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.

 

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. 

 

 

 

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

  • 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 $105,100 to $192,700.  The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900.  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.

 

Are you ready to shape your future with confidence? Apply today. 
EY accepts applications for this position on an on-going basis.  

 

For those living in California, please click here for additional information.

 

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

 

EY  |  Building a better working world

 

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

 

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

 

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

 

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 ssc.customersupport@ey.com.

Apply now Apply later
Job stats:  0  0  0

Tags: Agile Azure CI/CD Computer Science Computer Vision Consulting Deep Learning DevOps Engineering Generative AI Git Java Lidar Linear algebra Machine Learning NumPy OpenCV Pandas Python PyTorch Reinforcement Learning Research Robotics Statistics TensorFlow Testing

Perks/benefits: Career development Conferences Equity / stock options Flex hours Flex vacation Health care

Region: North America
Country: United States

More jobs like this