Intern - Robotics (Dexterity Data &… at Analog Devices · Wilmington

Intern - Robotics (Dexterity Data & Visual) - PhD Location: US, MA, Wilmington Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ:ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more atwww.analog.com and onLinkedIn andTwitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what’s possible. Analog Devices (ADI) is building the foundation for next‑generation robotic dexterity by tightly integrating tactile sensing, vision, low‑latency control, and AI‑driven data strategies. This internship offers a unique opportunity to work at the intersection of multimodal sensing, machine learning, and robotic manipulation, with direct impact on ADI’s long‑term dexterity platform and product roadmap. The intern will work closely with ADI’s tactile sensing, computer vision, and AI teams, contributing to the development of data strategies and learning pipelines that fuse tactile and visual information to enable robust, fast, and precise manipulation. This role is particularly well‑suited for a PhD student in robotics, electrical engineering, computer science, or a related field, with research interests in multimodal perception, learning‑based control, or dexterous manipulation. Key Responsibilities Develop and evaluate data strategies for multimodal dexterity, combining tactile, vision, and optionally proprioceptive or force/torque data. Design representations and learning pipelines that enable tactile–vision fusion for tasks such as grasping, manipulation, insertion, and slip detection. Analyze large‑scale tactile and vision datasets collected from robotic platforms and benchmarks, identifying key features, failure modes, and performance bottlenecks. Collaborate with tactile hardware teams to understand sensor characteristics, noise sources, latency constraints, and spatial/temporal resolution trade‑offs. Work with AI and robotics teams to prototype learning‑based models, including supervised, self‑supervised, or reinforcement learning approaches. Contribute to experimental design and benchmarking, evaluating how different sensing modalities and fusion strategies impact task success. Document findings clearly and communicate results through technical presentations and internal reports, helping shape ADI’s dexterity data roadmap. Desired Qualifications Currently pursuing a PhD in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field. Strong background in robotic perception, machine learning, or multimodal sensing. Hands‑on experience with at least one of the following: Tactile sensing or force/torque sensing Computer vision for robotics Learning‑based manipulation or control Proficiency in Python, with experience using ML frameworks (e.g., PyTorch, TensorFlow, JAX) and common robotics or vision libraries. Experience working with real‑world sensor data and an understanding of latency, synchronization, and noise in physical systems. Ability to work independently while collaborating effectively across interdisciplinary teams. Nice to Have Prior research on tactile sensing, multimodal fusion, or dexterous manipulation. Experience with robotic platforms, simulation environments, or benchmarking frameworks. Publications in leading robotics, ML, or sensing venues. Familiarity with real‑time systems or edge‑AI constraints. What You’ll Gain Hands‑on experience shaping ADI’s dexterity and tactile data strategy, with direct relevance to future products and platforms. Exposure to state‑of‑the‑art tactile sensor technologies and real industrial robotics challenges. Close collaboration with experts across tactile hardware, vision, AI, and system architecture. Opportunity to influence long‑term research directions and build strong industry–academia connections. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.