Founding Principal Physical AI Engineer

Founding Principal Physical AI Engineer 
Wipro Innovation Network (WIN) Labs · Mountain View, CA · Building intelligent robots that can perceive, reason, and act in the real world.

About the Role: 
Build the future of Physical AI and help shape a new robotics innovation hub from the ground up.  

At WIN Labs, we're developing intelligent robotic systems that can perceive, reason, and act in the real world. Our work spans Sim2Real learning, agentic AI, embodied intelligence, multi-robot coordination, autonomous manipulation, and robotics foundation models. We combine cutting-edge AI with deep robotics fundamentals to deliver practical solutions for real-world industrial challenges.

We're launching a new Physical AI Lab in Mountain View, California, and looking for a hands-on technical leader to serve as the founding engineering lead. This role combines technical depth, team leadership, customer engagement, and ecosystem building. You'll work closely with our core Robotics & Embodied AI team in Bengaluru, helping transform cutting-edge research into production-ready robotic systems, building world-class demonstrations, mentoring engineers, and growing our presence within the US robotics community.

If you're equally comfortable debugging robots, mentoring engineers, discussing architecture with researchers, 
and presenting innovative solutions to customers, this role is for you.

Tech You’ll Work With:
Physical AI • ROS 2 • Isaac Sim • Isaac Lab • MuJoCo • Agentic AI • Vision-Language-Action Models • Multi-Agent Systems • Open-RMF • PyTorch • Docker • FastAPI • NVIDIA Omniverse • Humanoids • Mobile Manipulators • Quadrupeds • AMRs • Reinforcement Learning • Sim2Real

What You’ll Build & Lead:
• Lead technical execution for the Mountain View Physical AI Lab and help establish its engineering culture and technical direction.  
• Deploy and scale Sim2Real pipelines, bridging simulation and real-world robotic performance.  
• Bring agentic robotics systems to life by integrating foundation models with perception, planning, reasoning, and control.  
• Lead deployments involving multi-robot orchestration, fleet management, collaborative autonomy, and task allocation.  
• Build and maintain robust ROS 2 software stacks spanning perception, planning, controls, and system integration.  
• Champion strong robotics fundamentals including kinematics, dynamics, motion planning, trajectory optimization, state estimation, and model-based control.  
• Drive customer demonstrations from concept through execution, showcasing the latest advancements in Physical AI.  
• Mentor senior engineers and interns while helping recruit and grow a high-performing robotics team.  
• Collaborate daily with robotics researchers and engineering leaders across Mountain View and Bengaluru.  
• Lead proof-of-concept projects, experiments, and innovation initiatives that influence future product and platform direction.  
• Build relationships across universities, research labs, industry partners, and the broader robotics ecosystem.  
• Represent WIN Labs at conferences, workshops, customer engagements, and industry events.  
• Help manage lab operations, robot platforms, hardware inventory, and vendor partnerships.

What We’re Looking For:
You'll Be a Great Fit If You Have 
• Master's or PhD in Robotics, Computer Science, Electrical Engineering, AI, or a related field.  
• 6+ years of experience building robotics, autonomy, or AI systems.  
• Previous experience leading technical teams, mentoring engineers, and driving complex projects to execution.  
• Expert-level proficiency in Python and C++.  
• Deep hands-on experience with ROS/ROS 2 and modern robotics simulation platforms including Isaac Sim, MuJoCo, or Gazebo.  
• Strong track record delivering Sim2Real solutions on physical robots.  
• Deep expertise in two or more of the following: Reinforcement Learning, Imitation Learning, Vision Language-Action Models, Agentic AI Systems, Multi-Robot Systems, Classical Robotics & Controls 
• Experience designing and deploying production-grade robotics software, APIs, cloud services, and containerized applications.  
• Strong communication and leadership skills with the ability to work across distributed teams and multiple stakeholders.  
• Proven ability to turn ambitious ideas into customer-ready deployments.

Bonus Points If You Have: 
• Experience leading multi-robot systems or fleet orchestration platforms such as Open-RMF.  
• Hands-on experience with humanoids, quadrupeds, robotic arms, AMRs, drones, or mobile manipulators.  
• Familiarity with NVIDIA's robotics ecosystem including Isaac Sim, Isaac ROS, Omniverse, GR00T, Cosmos, and Replicator.  
• Experience building university partnerships, supervising research collaborations, or managing internship programs.  
• Customer-facing experience in applied robotics, technical consulting, solution engineering, or innovation programs.  
• Experience designing end-to-end robotics and Physical AI solutions.  
• Experience leading globally distributed engineering teams.  
• Publications, patents, open-source contributions, or major robotics competition achievements.

Why Join WIN Labs:
• Be the founding technical leader of a new Physical AI Lab in Mountain View. 
• Work on some of the most exciting challenges in robotics, autonomy, and agentic AI. 
• Own high-impact work and see ideas move rapidly from prototype to real-world deployment. 
• Build solutions that move beyond research papers into real-world deployments. 
• Lead a growing team while remaining deeply involved in hands-on engineering. 
• Collaborate with top robotics researchers, engineers, startups, universities, and enterprise clients. 
• Access cutting-edge robot fleets, AI infrastructure, and simulation platforms. 
• Contribute to patents, publications, open-source projects, and next-generation AI systems. 
• Enjoy high visibility across customers, leadership, and the global robotics ecosystem. 
• Help define how Physical AI transforms industries at scale.

Join us to build intelligent machines that don't just understand the world, but interact with it.