Founding Principal Physical AI Engineer\u00a0
Wipro Innovation Network (WIN) Labs \u00b7 Mountain View, CA \u00b7 Building intelligent robots that can perceive, reason, and act in the real world.<\/p>\n
About the Role:\u00a0
Build the future of Physical AI and help shape a new robotics innovation hub from the ground up. \u00a0<\/p>\n
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.<\/p>\n
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.<\/p>\n
If you’re equally comfortable debugging robots, mentoring engineers, discussing architecture with researchers,\u00a0
and presenting innovative solutions to customers, this role is for you.<\/p>\n
Tech You\u2019ll Work With:
Physical AI \u2022 ROS 2 \u2022 Isaac Sim \u2022 Isaac Lab \u2022 MuJoCo \u2022 Agentic AI \u2022 Vision-Language-Action Models \u2022 Multi-Agent Systems \u2022 Open-RMF \u2022 PyTorch \u2022 Docker \u2022 FastAPI \u2022 NVIDIA Omniverse \u2022 Humanoids \u2022 Mobile Manipulators \u2022 Quadrupeds \u2022 AMRs \u2022 Reinforcement Learning \u2022 Sim2Real<\/p>\n
What You\u2019ll Build & Lead:
\u2022 Lead technical execution for the Mountain View Physical AI Lab and help establish its engineering culture and technical direction. \u00a0
\u2022 Deploy and scale Sim2Real pipelines, bridging simulation and real-world robotic performance. \u00a0
\u2022 Bring agentic robotics systems to life by integrating foundation models with perception, planning, reasoning, and control. \u00a0
\u2022 Lead deployments involving multi-robot orchestration, fleet management, collaborative autonomy, and task allocation. \u00a0
\u2022 Build and maintain robust ROS 2 software stacks spanning perception, planning, controls, and system integration. \u00a0
\u2022 Champion strong robotics fundamentals including kinematics, dynamics, motion planning, trajectory optimization, state estimation, and model-based control. \u00a0
\u2022 Drive customer demonstrations from concept through execution, showcasing the latest advancements in Physical AI. \u00a0
\u2022 Mentor senior engineers and interns while helping recruit and grow a high-performing robotics team. \u00a0
\u2022 Collaborate daily with robotics researchers and engineering leaders across Mountain View and Bengaluru. \u00a0
\u2022 Lead proof-of-concept projects, experiments, and innovation initiatives that influence future product and platform direction. \u00a0
\u2022 Build relationships across universities, research labs, industry partners, and the broader robotics ecosystem. \u00a0
\u2022 Represent WIN Labs at conferences, workshops, customer engagements, and industry events. \u00a0
\u2022 Help manage lab operations, robot platforms, hardware inventory, and vendor partnerships.<\/p>\n
What We\u2019re Looking For:
You’ll Be a Great Fit If You Have\u00a0
\u2022 Master’s or PhD in Robotics, Computer Science, Electrical Engineering, AI, or a related field. \u00a0
\u2022 6+ years of experience building robotics, autonomy, or AI systems. \u00a0
\u2022 Previous experience leading technical teams, mentoring engineers, and driving complex projects to execution. \u00a0
\u2022 Expert-level proficiency in Python and C++. \u00a0
\u2022 Deep hands-on experience with ROS\/ROS 2 and modern robotics simulation platforms including Isaac Sim, MuJoCo, or Gazebo. \u00a0
\u2022 Strong track record delivering Sim2Real solutions on physical robots. \u00a0
\u2022 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\u00a0
\u2022 Experience designing and deploying production-grade robotics software, APIs, cloud services, and containerized applications. \u00a0
\u2022 Strong communication and leadership skills with the ability to work across distributed teams and multiple stakeholders. \u00a0
\u2022 Proven ability to turn ambitious ideas into customer-ready deployments.<\/p>\n
Bonus Points If You Have:\u00a0
\u2022 Experience leading multi-robot systems or fleet orchestration platforms such as Open-RMF. \u00a0
\u2022 Hands-on experience with humanoids, quadrupeds, robotic arms, AMRs, drones, or mobile manipulators. \u00a0
\u2022 Familiarity with NVIDIA’s robotics ecosystem including Isaac Sim, Isaac ROS, Omniverse, GR00T, Cosmos, and Replicator. \u00a0
\u2022 Experience building university partnerships, supervising research collaborations, or managing internship programs. \u00a0
\u2022 Customer-facing experience in applied robotics, technical consulting, solution engineering, or innovation programs. \u00a0
\u2022 Experience designing end-to-end robotics and Physical AI solutions. \u00a0
\u2022 Experience leading globally distributed engineering teams. \u00a0
\u2022 Publications, patents, open-source contributions, or major robotics competition achievements.<\/p>\n
Why Join WIN Labs:
\u2022 Be the founding technical leader of a new Physical AI Lab in Mountain View.\u00a0
\u2022 Work on some of the most exciting challenges in robotics, autonomy, and agentic AI.\u00a0
\u2022 Own high-impact work and see ideas move rapidly from prototype to real-world deployment.\u00a0
\u2022 Build solutions that move beyond research papers into real-world deployments.\u00a0
\u2022 Lead a growing team while remaining deeply involved in hands-on engineering.\u00a0
\u2022 Collaborate with top robotics researchers, engineers, startups, universities, and enterprise clients.\u00a0
\u2022 Access cutting-edge robot fleets, AI infrastructure, and simulation platforms.\u00a0
\u2022 Contribute to patents, publications, open-source projects, and next-generation AI systems.\u00a0
\u2022 Enjoy high visibility across customers, leadership, and the global robotics ecosystem.\u00a0
\u2022 Help define how Physical AI transforms industries at scale.<\/p>\n
Join us to build intelligent machines that don’t just understand the world, but interact with it.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_ch_employer_id":"58309","_ch_external_id":"11835264","_ch_location_state":"","_ch_location_city":"","_ch_is_ocr_job":"","_ch_expiration_date":"2026-11-30","_ch_apply_link":"https:\/\/monmouth.joinhandshake.com\/jobs\/11835264\/share_preview"},"ch_stakeholder":[],"ch_class_year":[],"ch_job_category":[86],"ch_career_skill":[],"ch_industry":[65],"class_list":["post-126309","ch_job","type-ch_job","status-publish","hentry","ch_job_category-full-time","ch_industry-science-technology-innovation"],"_links":{"self":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job\/126309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job"}],"about":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/types\/ch_job"}],"wp:attachment":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/media?parent=126309"}],"wp:term":[{"taxonomy":"ch_stakeholder","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_stakeholder?post=126309"},{"taxonomy":"ch_class_year","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_class_year?post=126309"},{"taxonomy":"ch_job_category","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job_category?post=126309"},{"taxonomy":"ch_career_skill","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_career_skill?post=126309"},{"taxonomy":"ch_industry","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_industry?post=126309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}