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 at www.analog.com and on LinkedIn and Twitter (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 time
Shift 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.
Skills Required
- Master's degree or equivalent experience, Ph.D. preferred
- 3+ years of research experience in robot learning
- Strong background in machine learning and robotics
- Experience in Reinforcement Learning, Imitation Learning for manipulation
- Experience in Planning and control algorithms like A*
- Experience in Optimization techniques like linear/nonlinear optimization
- Training deep learning models with PyTorch
- Familiarity with large multi-modal datasets and models
- Track record of publications in top international conferences
- Familiarity with foundation models and large language models
- Familiarity with robotics toolkits like ROS/ROS2
- Experience with robotic systems and mechanical design
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
-
Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
-
Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
-
Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
