Intern Embedded Systems Jobs in Maynard, MA (NOW HIRING)

Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.
We are pioneering the development of systems that:
• Enables unprecedented generalization across diverse tasks
• Enables contact-rich manipulation in different environments
• Seamlessly integrates mobility and manipulation
• Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques.
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration!
BASIC QUALIFICATIONS
- Are 18 years of age or older
- Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field
- Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op
- At least 1 year of relevant academic research or industry experience within Robotics, Manipulation, Dexterous Manipulation, Locomotion, Human-Robot Interaction, Controls, Mechanical Design, Artificial Intelligence, Computer Vision, Machine Learning, Optimization, Perception, Motion Planning, Autonomous Navigation, Software (high-level and embedded) for robotic systems, or related
- Experience programming in Java, C++, Python, or related
PREFERRED QUALIFICATIONS
- Publication(s) at top-tier peer-reviewed conferences or journals
- Ability to develop system prototypes
- Demonstrated ability to work on collaborative and cross-functional teams
- Drive to see a project through from research concept to working prototype
- Strong algorithm development experience
- A working knowledge of analysis of algorithms and computational complexity
- Familiarity with state-of-the-art algorithms in field of expertise
- Excellent creative problem-solving skills
- Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.