Founding Robotics & Physical AI Engineer

Monmouth; Mountain View (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

WIN Labs in Mountain View, CA is launching a new Physical AI Lab and seeks a Founding Robotics & Physical AI Engineer who loves building, testing, and deploying real robotic systems. You’ll work at the intersection of robotics, AI, and cloud-enabled platforms, turning ambitious research ideas into tangible demonstrations and customer-ready solutions.

You’ll deploy Sim2Real pipelines, build agentic robotic workflows, and integrate ROS 2, perception, planning, and control with AI services.

Formación

• Bachelor’s or Master’s degree in Robotics, CS, Electrical Engineering, or related field (PhD a plus).
• +
• 3+ years of hands-on robotics software engineering experience.
• Experience deploying robotics or autonomy solutions beyond research prototypes.

Responsabilidades

• Deploy Sim2Real pipelines and validate AI models on real robotic hardware.
• Build agentic robotic systems transforming goals into perception, planning, and action workflows.
• Bring multi-robot coordination to life with fleet management and collaborative autonomy frameworks.
• Develop ROS 2 software stacks integrating perception, planning, and control.
• Integrate AI services, APIs, and cloud infrastructure into scalable robotic solutions.
• Design and showcase customer demonstrations of Physical AI advances.
• Collaborate with global robotics teams across Mountain View and Bengaluru.

Conocimientos

Python

C++

ROS/ROS2

PyTorch

Docker

Git

CI/CD

Cloud-native development

Educación

Bachelor’s or Master’s degree in Robotics/CS/EE

PhD is a plus

Herramientas

ROS 2

Gazebo/MuJoCo/Isaac Sim

Isaac Lab

Descripción del empleo

Founding Robotics & Physical AI Engineer

Founding Robotics & 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

At WIN Labs, we’re creating intelligent robotic systems that can perceive, reason, and act in the real world. From multi-robot coordination and agentic AI to Sim2Real learning and autonomous manipulation, our teams are pushing the boundaries of what’s possible in industrial robotics.

We’re launching a new Physical AI Lab in Mountain View, California, and looking for a hands‑on engineer who loves building, experimenting, and deploying real robotic systems. This lab serves as WIN Labs’ US innovation hub, bringing cutting‑edge research to life through live demonstrations, customer engagements, rapid experimentation, and real‑world deployments.

You’ll work closely with our core Robotics & Embodied AI team in Bengaluru while helping establish and grow our Mountain View presence. If you’re excited about robotics, autonomy, foundation models, and seeing your code come alive on real hardware, we’d love to talk.

What You’ll Build

• Deploy and extend Sim2Real pipelines developed by our Bengaluru team, validating AI models on real robotic hardware.
• Build agentic robotic systems that transform high-level goals into perception, planning, and action workflows.
• Bring multi-robot coordination solutions to life using fleet management, task allocation, and collaborative autonomy frameworks.
• Develop robust ROS 2 software stacks integrating perception, planning, and control systems.
• Apply classical robotics fundamentals including kinematics, dynamics, motion planning, state estimation, and control theory to build reliable autonomous systems.
• Integrate AI services, APIs, cloud infrastructure, and robotics platforms into scalable solutions.
• Design and showcase compelling customer demonstrations that highlight the latest advances in Physical AI.
• Drive experiments from idea to real-world validation and share findings with the broader robotics team.
• Collaborate daily with world‑class robotics engineers and researchers across Mountain View and Bengaluru.
• Represent WIN Labs at conferences, customer meetings, industry events, and innovation forums.
• Help establish and grow a state‑of‑the‑art robotics lab, including managing robot platforms, hardware inventory, and vendor relationships.

What We’re Looking For

You’ll Be a Great Fit If You Have

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field (PhD is a plus).
• 3+ years of hands‑on robotics software engineering experience.
• Strong programming skills in Python and C++.
• Deep experience with ROS/ROS 2 and robotics simulation platforms such as Isaac Sim, MuJoCo, or Gazebo.
• Experience deploying robotics or autonomy solutions beyond research prototypes.
• Hands‑on experience with Sim2Real techniques, domain randomization, synthetic data generation, or system identification.
• Experience building or integrating LLM‑based agentic systems, Vision‑Language‑Action (VLA) models, or AI powered robotic applications.
• Strong understanding of machine learning and deep learning frameworks such as PyTorch.
• Experience with Docker, CI/CD, Git, APIs, and cloud‑native development.
• A builder mindset with a track record of taking ideas from concept to deployment.

Bonus Points If You Have

• Experience with multi‑robot systems, Open‑RMF, fleet management, or multi‑agent reinforcement learning.
• Hands‑on experience with industrial arms, mobile manipulators, humanoids, quadrupeds, drones, or AMRs.
• Familiarity with NVIDIA’s robotics ecosystem, including Isaac Sim, Isaac Lab, Replicator, or related tools.
• Experience with sensor fusion, SLAM, 3D perception, and computer vision systems.
• Experience scaling simulation workloads on cloud or GPU infrastructure.
• Knowledge of data engineering, SQL/NoSQL databases, and robotics data pipelines.
• Experience designing end‑to‑end robotics solutions for real‑world deployments.
• Publications, patents, open‑source contributions, or competitive robotics achievements.

Why Join WIN Labs

• Be one of the first engineers shaping our new Mountain View Physical AI Lab.
• Work on real robots solving real‑world challenges.
• Own high‑impact work and see ideas move rapidly from prototype to real‑world deployment.
• Build at the intersection of robotics, foundation models, and agentic AI.
• Collaborate with a global team of robotics researchers and engineers.
• Access cutting‑edge robot platforms and simulation infrastructure.
• Contribute to patents, publications, open‑source initiatives, and next‑generation AI systems.
• Travel to leading robotics conferences, industry events, and customer sites.
• Help define how Physical AI transforms industries worldwide.

If you’re passionate about building intelligent machines that can perceive, reason, and act in the real world, we’d love to hear from you.