Role overview
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 a focus on real-time data integration and simulation.
Proficiency in using 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.
What you'll work on
Developing and implementing scalable demos that highlight the integration of software and hardware in Physical AI applications.
Showcase innovations and speak at EY-hosted events, including innovation summits & technology showcases.
Conduct analytics and monitor market trends to inform solution development, identify emerging opportunities, and position the team’s 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.
What we're looking for
To thrive in this role, you will need a combination of technical expertise and strong interpersonal skills. Key attributes include:
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.