Analog Devices
Machine Learning Engineer, Robotics
San Jose, California, USA · Senior · full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($150,978) is below the Level I prevailing wage of $152,797. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $187,075 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 91%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Join Analog Devices as a Software/Machine Learning Engineer and help shape the next generation of robotics applications.
- 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.
Responsibilities
- Collaborate with cross-functional engineering teams to evaluate software, hardware, and electronic component interactions in robotics applications.
- Document technical learnings, troubleshoot issues, and help define best practices as well as the practical limits of robotic capabilities.
- Demonstrated ability to work independently, take initiative, manage responsibilities effectively, and deliver results in a dynamic environment.
Nice to have
- 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.
- As such, applicants for this position - except s, 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.
- EEO is the Law: Notice of Applicant Rights Under the Law.
- Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $150,978 to $218,624.
Compensation
- $151k-$219k
Benefits
- About the Role 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.
- Design and develop machine learning algorithms for robotic hand and arm prototypes to perform foundational and repetitive tasks.
- Support machine learning development and deployment by coordinating with internal and external teams and contributing insight on analog semiconductor technologies used in motion control.
- The company combines analog, digital, AI, and software technologies to help drive advancements in automation and robotics, mobility, healthcare, energy, and data centers.
- Minimum Qualifications Minimum of 5 years of industry experience in software development, robotics systems, machine learning, or related hardware training.
This listing is sourced directly from Analog Devices's careers page and normalized into a canonical job model.