1823 Software Engineer jobs in Chelsea,MA

94,700.00 - 126,300.00 USD per year plus bonus

Paid Time Off

401K with Employer Match and Profit Sharing

Health and Wellness Benefits

Learning and Development Opportunities

Referral Program

Employee Stock Purchase Plan

Bachelor's degree in software engineering or a related technical field.

3 - 5 years software development

Up to date knowledge of modern AI open-source frameworks and harnesses

U.S. Citizen (required for clearance)

This position may require exposure to export-controlled information and subject to additional security screening.

1 year of AI development preferred

Knowledge with tactical data links preferred

The expected wage range for a new hire into this position is $64,000 to $88,000.

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

Medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time

Knowledge of manufacturing, process engineering, production operations, or industrial systems through coursework, projects, internships, or work experience.

Ability to read and interpret engineering drawings, specifications, and technical documentation.

Proficiency with Microsoft Office or similar productivity tools.

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.

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Materials Science, Manufacturing Engineering, Industrial Engineering, Chemical Engineering, or a related technical discipline.

0-2 years of relevant experience in manufacturing engineering, process engineering, operations engineering, production engineering, or related technical disciplines.

Familiarity with Statistical Process Control (SPC), Design of Experiments (DOE), Lean Manufacturing, Six Sigma, or related methodologies.

Experience with manufacturing, assembly, semiconductor, process development, test, or production environments through internships, academic projects, or industry experience.

Exposure to manufacturing execution systems (MES), data analysis tools, or process monitoring systems.

Familiarity with CAD software, engineering analysis tools, or process simulation tools.

Experience supporting new product introduction (NPI), process qualification, or manufacturing transfer activities.

Knowledge of quality systems, root cause analysis, failure analysis, or continuous improvement techniques.