Senior Robot Learning Engineer

US, MA, Boston

Analog Devices

Analog Devices is a global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits to help solve the toughest engineering challenges.

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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 $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X)

          

The Dexterous AI Group (DAG) is looking for Robot Learning Engineers to develop core AI technologies for Analog Devices’ future AI robotics with generality and dexterity, beyond the reach of traditional algorithms and system innovations. 

 

Responsibilities include: 

  • Contribute the development of advanced learning algorithms for general and dexterous robot using the state-of-the-art techniques.  

  • Create sandbox simulations, deployable implementations, and evaluation frameworks for algorithm performance and robustness. 

  • Contribute to data requirements, data collection setup and procedure, and data curation.  

  • Stay abreast of the latest developments in machine learning and robotics from reputable groups. 

 

Qualifications:  

  • Master’s degree or equivalent experience, Ph.D. is preferred.  

  • 3+ years of research experience in robot learning. 

  • Strong background in machine learning and robotics, and experience in:  

  • Planning and control algorithms (e.g., A*, MPC). 

  • Optimization techniques (e.g., linear/nonlinear optimization). 

  • Training deep learning models with PyTorch

  • Reinforcement Learning and Imitation Learning. 

  • Familiarity with mapping techniques using LiDAR/ToF, mono/stereo vision (e.g., 2D/3D occupancy grid mapping, structure from motion). 

  • Preferred: familiarity with 

  • foundation models, generative model, large language models. 

  • robotics toolkits (e.g., ROS/ROS2, Gazebo, Isaac) 

  • robotic systems and mechanical design 

 

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: Experienced

          

Required Travel: No

          

Shift Type: 1st Shift/Days

          

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Deep Learning Lidar LLMs Machine Learning PyTorch Reinforcement Learning Research Robotics Security

Region: North America
Country: United States

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