Machine Learning Engineer, Robotics

Analog Devices•San Jose, CA

6d•$150,978 - $218,624•Onsite

About The Position

Join Analog Devices as a Software/Machine Learning Engineer and help shape the next generation of robotics applications. As a Member of the Technical Staff, you will play a hands-on role in developing software and machine learning solutions for robotic systems used in test and assembly environments. This is an exciting opportunity to work at the intersection of robotics, intelligent automation, and semiconductor technology while collaborating across disciplines to bring innovative capabilities from development through deployment. This position is based in San Jose, California. Analog Devices, Inc. (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. The company combines analog, digital, AI, and software technologies to help drive advancements in automation and robotics, mobility, healthcare, energy, and data centers.

Requirements

Minimum of 5 years of industry experience in software development, robotics systems, machine learning, or related hardware training.
Master’s or PhD in Software Engineering, Computer Science, Electrical Engineering, or a related field, with an emphasis on robotics programming.
Demonstrated ability to work independently, take initiative, manage responsibilities effectively, and deliver results in a dynamic environment.
Strong collaboration skills and the ability to work effectively across cross-functional teams, including teams in different geographic locations when needed.

Nice To Haves

Experience developing machine learning or control algorithms for robotic manipulation, motion control, or autonomous systems.
Hands-on experience programming robotic arms, end effectors, or humanoid robotic platforms in laboratory or manufacturing environments.
Familiarity with software and hardware integration, including sensor interfaces, embedded systems, or real-time control environments.
Knowledge of analog or mixed-signal semiconductor technologies relevant to motion control or intelligent automation applications.
Experience supporting technology transfer, deployment, or scale-up of robotics or automation solutions into operational settings.

Responsibilities

Design and develop machine learning algorithms for robotic hand and arm prototypes to perform foundational and repetitive tasks.
Collaborate with cross-functional engineering teams to evaluate software, hardware, and electronic component interactions in robotics applications.
Conduct experiments to assess robotic performance while manipulating objects with varying size, mass, shape, surface properties, and position.
Apply programming expertise to commercially available humanoid robots to enable practical capabilities in test and assembly environments.
Document technical learnings, troubleshoot issues, and help define best practices as well as the practical limits of robotic capabilities.
Support machine learning development and deployment by coordinating with internal and external teams and contributing insight on analog semiconductor technologies used in motion control.