Santa Clara, California Robotics & Physical AI Subject Matter Expert CA 95050

Job description

At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation. We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society. We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them. If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career. Together, we can create a more sustainable future for all. Job Description: Robotics & Physical AI Subject Matter Expert Position: Robotics & Physical AI Subject Matter Expert (SME) Experience: 3–5 years of relevant industry experience Education: Ph.D. required Japanese Language: Preferred Position Overview We are seeking a highly skilled and innovative Robotics & Physical AI Subject Matter Expert to drive research adoption, technology development, and industry engagement in next-generation intelligent robotic systems. The ideal candidate will possess a strong academic foundation in robotics, artificial intelligence, and autonomous systems, complemented by practical industry experience developing and deploying AI-enabled robotic solutions. This role will focus on advancing Physical AI technologies that enable machines to perceive, reason, learn, and interact intelligently with the physical world. The candidate will work closely with research teams, technology partners, and customers to translate cutting-edge research into commercially relevant applications. Key Responsibilities 1. Technical Leadership & Expertise Serve as a subject matter expert in robotics, Physical AI, embodied intelligence, and autonomous systems. Provide technical leadership in AI-driven perception, planning, reasoning, control, and robotic manipulation. Evaluate emerging technologies, including Vision-Language-Action (VLA) models, foundation models for robotics, reinforcement learning, and imitation learning. Identify opportunities for applying Physical AI to industrial automation, manufacturing, logistics, and other enterprise applications. 2. Research & Technology Development Collaborate with research scientists and engineers to develop advanced robotics and Physical AI solutions. Translate academic advances into practical technologies, prototypes, and proof-of-concept demonstrations. Support the integration of AI models with robotic hardware, sensors, actuators, and real-time control systems. Evaluate simulation environments, digital twins, and sim-to-real transfer techniques for robotic learning and deployment. 3. Industry Engagement & Collaboration Engage with enterprise customers and technology partners to understand business requirements and identify opportunities for robotics and Physical AI adoption. Serve as a technical advisor in discussions with industry stakeholders and research institutions. Collaborate with international research and engineering teams, particularly in Japan, to align technology development with business and research priorities. Represent the organization at technical conferences, research forums, and industry events. 4. Technology Strategy & Innovation Monitor emerging trends and competitive developments in robotics and Physical AI. Contribute to technology roadmaps, research priorities, and strategic initiatives. Assess the technical feasibility, scalability, and commercial potential of emerging robotic AI technologies. Develop technical presentations, white papers, and demonstrations for internal and external audiences. Required Qualifications Ph.D. in Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related discipline. 3–5 years of relevant industry experience in robotics, autonomous systems, Physical AI, or applied AI research and development. Strong understanding of robotic perception, motion planning, manipulation, control systems, and machine learning. Experience with deep learning, reinforcement learning, or foundation models for robotics. Hands-on familiarity with robotic software frameworks and simulation tools, such as ROS/ROS 2, NVIDIA Isaac Sim, Gazebo, or MuJoCo. Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow. Demonstrated ability to bridge fundamental research and real-world engineering applications. Strong analytical, problem-solving, communication, and technical presentation skills. Ability to collaborate effectively with multidisciplinary and geographically distributed teams. Preferred Qualifications Japanese language proficiency , particularly the ability to communicate with technical and research teams in Japan. Experience collaborating with Japanese technology companies, universities, or research organizations. Knowledge of Vision-Language-Action models, multimodal foundation models, and embodied AI. Experience with humanoid robotics, industrial robotics, mobile manipulation, or autonomous mobile robots. Familiarity with robotic simulation, synthetic data generation, and sim-to-real learning. Published research in leading robotics or AI conferences such as ICRA, IROS, RSS, NeurIPS, or CoRL. Experience developing proof-of-concept solutions in collaboration with enterprise customers or industry partners. Ideal Candidate Profile The successful candidate will combine deep technical expertise, hands-on industry experience, and strong communication skills . They will be equally comfortable discussing emerging robotics research with leading scientists, engaging engineering teams on implementation challenges, and articulating the business value of Physical AI to customers and senior executives. An interest in international collaboration, particularly with Japanese research and technology organizations, will be a significant advantage. #Americas_Priority Relocation Supported: No Visa Sponsorship Approved: Yes At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive. We are an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law. We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential. California Consumer Privacy Act (CCPA), read here Copyright 1995 - 2024 Fujitsu Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session sti