Founding Principal Physical AI Engineer (C2/D1)
Company: Wipro – Innovation Network (WIN) Labs
Location: Mountain View, California
Work Arrangement: 100% On-site
Employment Type: Full-Time, Direct Hire (FTE Only)
About Wipro WIN Labs
Wipro Innovation Network (WIN) Labs is developing intelligent robotic systems that can perceive, reason, and act in the real world. Our work includes Physical AI, embodied intelligence, Sim2Real learning, agentic AI, autonomous manipulation, multi-robot coordination, and robotics foundation models.
We are establishing a new Physical AI Lab in Mountain View, California, to transform advanced robotics research into production-ready systems and real-world industrial applications. This role will help shape the lab's technical direction, engineering culture, and robotics innovation ecosystem while working closely with teams in Mountain View and Bengaluru.
Job Summary
We are seeking a Founding Principal Physical AI Engineer to serve as a hands-on technical leader for the Mountain View Physical AI Lab.
This position combines advanced robotics engineering, technical architecture, team leadership, research-to-deployment execution, and innovation. The ideal candidate brings deep expertise in robotics and embodied AI, experience delivering Sim2Real solutions on physical robots, and the ability to lead engineers in building production-grade autonomous systems.
You will guide technical execution, mentor engineers, lead complex robotics initiatives, and turn advanced AI capabilities into customer-ready demonstrations and deployments while remaining actively involved in engineering.
Key Responsibilities
- Lead technical execution, architecture, and engineering direction for the Mountain View Physical AI Lab.
- Establish engineering practices, technical standards, and development workflows for robotics and Physical AI initiatives.
- Design, deploy, and scale Sim2Real pipelines that bridge simulation-trained models and real-world robotic performance.
- Lead the integration of foundation models with robotic perception, reasoning, planning, decision-making, and control.
- Architect agentic robotics systems that translate high-level objectives into reliable autonomous actions.
- Lead multi-robot orchestration, fleet management, collaborative autonomy, and task-allocation initiatives.
- Design and maintain production-grade ROS 2 software stacks spanning perception, planning, controls, and system integration.
- Apply advanced robotics principles, including kinematics, dynamics, motion planning, trajectory optimization, state estimation, and model-based control.
- Drive proof-of-concept projects, experiments, and innovation programs from initial concept through real-world validation.
- Lead customer-ready technical demonstrations showcasing Physical AI, embodied intelligence, and autonomous robotics capabilities.
- Mentor senior engineers, junior engineers, and interns; contribute to technical hiring and team development.
- Collaborate with robotics researchers and engineering leaders across Mountain View and Bengaluru.
- Build relationships with universities, research institutions, startups, industry partners, and the broader robotics community.
- Represent WIN Labs at technical conferences, workshops, customer engagements, and industry events.
- Integrate robotics platforms with APIs, cloud services, AI infrastructure, and containerized applications.
- Help establish and manage lab operations, including robotic platforms, hardware inventory, equipment, and vendor partnerships.
- Contribute to technical roadmaps, publications, patents, open-source projects, and future platform direction.
Required Qualifications
- Master's or PhD in Robotics, Computer Science, Electrical Engineering, Artificial Intelligence, or a related technical field.
- 6+ years of experience building robotics, autonomy, embodied AI, or advanced AI systems.
- Demonstrated experience leading technical teams, mentoring engineers, and delivering complex engineering projects.
- Expert-level programming skills in Python and C++.
- Deep hands-on experience with ROS or ROS 2.
- Extensive experience with robotics simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or Gazebo.
- Strong track record of delivering Sim2Real solutions and validating autonomous systems on physical robots.
- Deep expertise in at least two of the following areas:
- Reinforcement learning
- Imitation learning
- Vision-language-action (VLA) models
- LLM-based agentic AI systems
- Multi-robot systems and collaborative autonomy
- Classical robotics, motion planning, and controls
- Experience designing and deploying production-grade robotics software, APIs, cloud services, and containerized applications.
- Strong understanding of robotics system architecture, perception, planning, controls, and hardware integration.
- Proven ability to turn research concepts and ambitious technical ideas into reliable, real-world deployments.
- Excellent technical communication, problem-solving, and cross-functional collaboration skills.
- Ability to lead distributed engineering teams and work effectively across research and implementation groups.
Preferred Qualifications
- Experience leading multi-robot systems, fleet orchestration, or Open-RMF implementations.
- Hands-on experience with humanoids, quadrupeds, industrial robotic arms, AMRs, drones, or mobile manipulators.
- Familiarity with NVIDIA's robotics ecosystem, including Isaac Sim, Isaac ROS, Isaac Lab, Omniverse, GR00T, Cosmos, and Replicator.
- Experience with advanced perception, computer vision, SLAM, sensor fusion, and 3D understanding.
- Experience building university partnerships, supervising research collaborations, or managing internship programs.
- Background in applied robotics, technical consulting, solution engineering, or innovation programs.
- Experience designing end-to-end Physical AI solutions for real-world industrial environments.
- Experience leading globally distributed engineering teams.
- Publications, patents, open-source contributions, or significant robotics competition achievements.
Technology Stack
Physical AI, ROS 2, Python, C++, NVIDIA Isaac Sim, Isaac Lab, Isaac ROS, MuJoCo, Gazebo, NVIDIA Omniverse, GR00T, Cosmos, Replicator, PyTorch, Reinforcement Learning, Imitation Learning, Sim2Real, Vision-Language-Action Models, Agentic AI, Multi-Agent Systems, Open-RMF, Docker, FastAPI, Cloud Infrastructure, Humanoids, Quadrupeds, Mobile Manipulators, and AMRs.
Why Join WIN Labs?
- Be a founding technical leader shaping a new Physical AI Lab in Mountain View.
- Lead high-impact engineering initiatives at the intersection of robotics, AI foundation models, and autonomy.
- Remain hands-on while mentoring engineers and setting technical direction.
- Move advanced robotics research beyond prototypes into real-world deployments.
- Collaborate with leading robotics researchers, engineers, universities, and industry partners.
- Access advanced robotic platforms, simulation environments, and AI infrastructure.
- Contribute to patents, publications, open-source initiatives, and next-generation robotics systems.
- Help define the future of Physical AI and intelligent autonomous systems.
Important Hiring Requirements: This is a full-time, direct-hire position requiring 100% on-site work in Mountain View, California. Contractors are not eligible.
