Physical AI Robotics Engineer

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

We Are: Do you believe that AI and robotics will redefine the way we work and live? Then help shape the future with us. As part of Accenture’s ambition “To reinvent industries,” the Robotics Team operates at the forefront as a spearhead for groundbreaking robotics solutions. We combine Accenture’s global strength and reach with the latest breakthroughs in Physical AI and robotics—with a focus on the intersection of technology, industry, and society.

You Are: In global and highly ambitious team, you will develop scalable robotics solutions—from AMRs and autonomous drones to quadrupedal robots, humanoid systems, and AI-powered service platforms. Our goal: to make real industrial applications more efficient, safer, more economical—and smarter.

You work on the most pressing technology and industry challenges—in direct collaboration with experts in engineering, AI, and strategy. In an environment that encourages responsibility and takes learning seriously, you develop further with every challenge. You benefit from structured mentoring, open feedback, and projects that combine technical excellence with entrepreneurial impact.

Qualification- Minimum of 3 years of relevant experience in robotics, consulting, or software projects with a strong technical focus.

• Minimum of 3 years of experience Solid experience with modern robotics stacks: ROS2, motion planning, sensor fusion, and simulation environments (Isaac Sim 6.0, Isaac Lab 3.0, MuJoCo, Gazebo).
• Minimum of 3 years of experience Hands-on experience with Physical AI and foundation model technologies: working knowledge of VLA architectures (e.g., NVIDIA Isaac GR00T, π0, OpenVLA), robot policy fine-tuning, imitation learning, and sim-to-real transfer pipelines.
• Minimum of 3 years of experience Experience with synthetic data generation and world models (NVIDIA Cosmos, Genesis, MuJoCo MJX) for scalable robot training at scale.
• Minimum of 3 years of experience Proficient in software development with Python and C++—including clean code practices, Git, CI/CD, and architecture-based development.
• Minimum of 3 years of experience You have taken responsibility in technical project roles—e.g., as an architect, lead engineer, or integrative tech generalist in interdisciplinary teams.
• Minimum of 2 years of experience Exposure to edge AI deployment for robotics: NVIDIA Jetson / Isaac platform, TensorRT inference optimization, and real-time control at 30–100 Hz.
• Bachelor's degree in robotics, computer science (or related)