Senior Robot Learning Engineer

Analogdevices

Boston, MA • On-site

$144K - $198K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

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.comand onLinkedInandTwitter (X).

Senior Robot Learning Engineer

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, with a strong emphasis on bridging simulation and real-world robotic performance.

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:
    • Reinforcement Learning and Imitation Learning for manipulation.
    • Planning and control algorithms (e.g., A*, MPC).
    • Optimization techniques (e.g., linear/nonlinear optimization).
    • Training deep learning models with PyTorch and familiarity with large multi-modal datasets and models.
  • A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, ...)
  • Preferred: familiarity with
    • foundation models and large language models.
    • robotics toolkits (e.g., ROS/ROS2, Mujoco, 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: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $144,000 to $198,000.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.



Frequently asked questions

Q: What skills or qualities help someone succeed as a Senior Engineer?

A: To succeed as a Senior Engineer, key technical skills include expertise in software development methodologies (e.g., Agile, DevOps), proficiency in programming languages (e.g., Java, Python), and in-depth knowledge of relevant technologies (e.g., cloud computing, artificial intelligence). Additionally, essential soft skills include strong leadership and communication abilities, as well as the capacity to mentor and guide junior engineers, along with excellent problem-solving and analytical thinking skills. By combining these technical and soft skills, Senior Engineers can effectively lead projects, drive innovation, and contribute to the growth and success of their organization.

Q: What is the career path for a Senior Engineer?

A: A Senior Engineer typically follows a career progression from entry-level roles such as Junior Engineer or Design Engineer, to mid-level positions like Staff Engineer or Lead Engineer, and eventually to senior roles like Senior Engineer or Principal Engineer. Along the way, they develop key skills in technical leadership, project management, and communication, as well as opportunities to specialize in areas like technical mentoring, innovation, and strategic planning. Long-term, Senior Engineers may pursue leadership roles like Engineering Manager, Director of Engineering, or even transition into non-technical roles like Product Management or Business Development.



Analogdevices job posting for a Senior Robot Learning Engineer in Boston, MA with a salary of $144,000 to $198,000 Annually and benefits including Medical, Vision, Dental, PTO, and Retirement with a map of Boston location.