Founding Robotics & Physical AI Engineer<\/p>\n
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
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
Tech You\u2019ll Work With:\u00a0
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:\u00a0
\u2022 Deploy and extend Sim2Real pipelines developed by our Bengaluru team, validating AI models on real robotic hardware. \u00a0
\u2022 Build agentic robotic systems that transform high-level goals into perception, planning, and action workflows. \u00a0
\u2022 Bring multi-robot coordination solutions to life using fleet management, task allocation, and collaborative autonomy frameworks. \u00a0
\u2022 Develop robust ROS 2 software stacks integrating perception, planning, and control systems. \u00a0
\u2022 Apply classical robotics fundamentals including kinematics, dynamics, motion planning, state estimation, and control theory to build reliable autonomous systems. \u00a0
\u2022 Integrate AI services, APIs, cloud infrastructure, and robotics platforms into scalable solutions. \u00a0
\u2022 Design and showcase compelling customer demonstrations that highlight the latest advances in Physical AI. \u00a0
\u2022 Drive experiments from idea to real-world validation and share findings with the broader robotics team. \u00a0
\u2022 Collaborate daily with world-class robotics engineers and researchers across Mountain View and Bengaluru. \u00a0
\u2022 Represent WIN Labs at conferences, customer meetings, industry events, and innovation forums. \u00a0\u00a0
\u2022 Help establish and grow a state-of-the-art robotics lab, including managing robot platforms, hardware inventory, and vendor relationships.<\/p>\n
What We\u2019re Looking For:\u00a0
You’ll Be a Great Fit If You Have\u00a0
\u2022 Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field (PhD is a plus).\u00a0
\u2022 3+ years of hands-on robotics software engineering experience.\u00a0
\u2022 Strong programming skills in Python and C++.\u00a0
\u2022 Deep experience with ROS\/ROS 2 and robotics simulation platforms such as Isaac Sim, MuJoCo, or Gazebo.\u00a0
\u2022 Experience deploying robotics or autonomy solutions beyond research prototypes.\u00a0
\u2022 Hands-on experience with Sim2Real techniques, domain randomization, synthetic data generation, or system identification.\u00a0
\u2022 Experience building or integrating LLM-based agentic systems, Vision-Language-Action (VLA) models, or AI powered robotic applications.\u00a0
\u2022 Strong understanding of machine learning and deep learning frameworks such as PyTorch.\u00a0
\u2022 Experience with Docker, CI\/CD, Git, APIs, and cloud-native development.\u00a0
\u2022 A builder mindset with a track record of taking ideas from concept to deployment.<\/p>\n
Bonus Points If You Have:\u00a0
\u2022 Experience with multi-robot systems, Open-RMF, fleet management, or multi-agent reinforcement learning.\u00a0
\u2022 Hands-on experience with industrial arms, mobile manipulators, humanoids, quadrupeds, drones, or AMRs.\u00a0
\u2022 Familiarity with NVIDIA’s robotics ecosystem, including Isaac Sim, Isaac Lab, Replicator, or related tools.\u00a0
\u2022 Experience with sensor fusion, SLAM, 3D perception, and computer vision systems.\u00a0
\u2022 Experience scaling simulation workloads on cloud or GPU infrastructure.\u00a0
\u2022 Knowledge of data engineering, SQL\/NoSQL databases, and robotics data pipelines.\u00a0
\u2022 Experience designing end-to-end robotics solutions for real-world deployments.\u00a0
\u2022 Publications, patents, open-source contributions, or competitive robotics achievements.<\/p>\n
Why Join WIN Labs?\u00a0
\u2022 Be one of the first engineers shaping our new Mountain View Physical AI Lab.\u00a0
\u2022 Work on real robots solving real-world challenges.\u00a0
\u2022 Own high-impact work and see ideas move rapidly from prototype to real-world deployment.\u00a0
\u2022 Build at the intersection of robotics, foundation models, and agentic AI.\u00a0
\u2022 Collaborate with a global team of robotics researchers and engineers.\u00a0
\u2022 Access cutting-edge robot platforms and simulation infrastructure.\u00a0
\u2022 Contribute to patents, publications, open-source initiatives, and next-generation AI systems.\u00a0
\u2022 Travel to leading robotics conferences, industry events, and customer sites.\u00a0
\u2022 Help define how Physical AI transforms industries worldwide.<\/p>\n
If you’re passionate about building intelligent machines that can perceive, reason, and act in the real world, \u00a0we’d love to hear from you.\u00a0<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_ch_employer_id":"58309","_ch_external_id":"11835343","_ch_location_state":"","_ch_location_city":"","_ch_is_ocr_job":"","_ch_expiration_date":"2026-11-30","_ch_apply_link":"https:\/\/monmouth.joinhandshake.com\/jobs\/11835343\/share_preview"},"ch_stakeholder":[],"ch_class_year":[],"ch_job_category":[86],"ch_career_skill":[],"ch_industry":[65],"class_list":["post-126312","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\/126312","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=126312"}],"wp:term":[{"taxonomy":"ch_stakeholder","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_stakeholder?post=126312"},{"taxonomy":"ch_class_year","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_class_year?post=126312"},{"taxonomy":"ch_job_category","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job_category?post=126312"},{"taxonomy":"ch_career_skill","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_career_skill?post=126312"},{"taxonomy":"ch_industry","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_industry?post=126312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}