Physical AI Engineering & Strategy, Senior Consultant
Location:
On-site in Alpharetta, GA Permanent role, Full-time.
We are searching for an AI specialist with expertise in programming robot dogs and humanoids from the Chinese manufacturer Unitree and proficiency with NVIDIA Omniverse. Merely having experience with robots will not be sufficient for this role.
Our Artificial Intelligence and Data team is at the forefront of integrating cutting?edge technology with physical systems. As a Senior Consultant in Physical AI, you will collaborate closely with clients and interdisciplinary teams at EY to develop innovative solutions that leverage robotics, software, and open?source technologies.
Key Responsibilities
Developing and implementing scalable demos that highlight the integration of software and hardware in Physical AI applications.
Showcasing innovations and speaking at EY-hosted events, including innovation summits & technology showcases.
Conducting analytics and monitoring market trends to inform solution development, identify emerging opportunities, and position the teams capabilities strategically within the evolving Physical AI landscape.
Utilizing strong knowledge of the NVIDIA ecosystem to design and execute solutions that meet stakeholder needs.
Leading development in robotics, focusing on kinetics, perception, and decision making to enhance operational efficiency and safety.
Collaborating with a variety of stakeholders to understand requirements and provide technical leadership throughout the project lifecycle.
Skills and Attributes for Success
A passion for innovation and a proactive approach to problem?solving.
Excellent communication skills to effectively convey complex concepts to diverse audiences.
Strong analytical skills to guide project direction and decision?making.
Ability to build and maintain relationships with clients and team members, fostering a collaborative environment.
A commitment to delivering high?quality client services and continuous improvement.
Required Qualifications
Bachelors degree in a relevant field (e.g., Robotics, Computer Science, Mechanical Engineering, Electrical Engineering).
36 years of full?time experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
Proven experience in developing and implementing scalable AI systems that integrate software and hardware components.
Strong proficiency in programming languages such as Python, C++, or Java, with hands?on experience in robotics frameworks (e.g., ROS) and simulation environments (e.g., Isaac Sim).
Extensive knowledge of the NVIDIA ecosystem, including experience with their offerings and implementation strategies for robotics and AI applications.
Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration (e.g., LIDAR, cameras).
Familiarity with machine learning techniques and algorithms, particularly in the context of robotics, automation, and decision?making processes.
Experience designing, building, and maintaining robotics systems and digital twin models with real?time data integration and simulation.
Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy) to derive insights from sensor data and simulations, along with experience in popular ML frameworks such as TensorFlow or PyTorch.
Experience with DevOps tools (e.g., GIT, Azure DevOps) and Agile methodologies (e.g., Jira) to develop and deploy analytical solutions with multiple features, pipelines, and releases.
Excellent communication skills to clearly convey findings, recommendations, and opportunities for improvement to clients and team members.
Willingness to travel as needed to engage with clients and stakeholders.
Preferred Qualifications
Advanced degree (Masters or Ph.D.) in Robotics, Computer Science, Mechanical/Aerospace Engineering, Electrical Engineering, or a related quantitative field.
Previous experience in research projects related to robotics, automation, or digital twin technologies, including contributions to academic journals or conferences.
Proficiency in computer vision techniques and libraries (e.g., OpenCV) for object detection, tracking, and recognition.
Experience 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 path planning, motion planning, and decision?making in robotics.
Familiarity with Hardware?in?the?Loop (HIL) testing techniques to validate robotic system performance in real?time.
Strong understanding of or interest in Agentic AI and Generative AI, with the ability to explore and implement innovative applications in these areas.
Experience with Cosmos or similar data management platforms to facilitate integration and analysis of large datasets in AI applications.