Analog Devices
Senior Algorithms Engineer
US, MA, Wilmington · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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
$21,277 more — $138,237 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $138,237 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) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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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
- The demand for remote health monitoring and disease management will continue to grow exponentially as the continuum of care extends to remote settings.
- Next generation solutions enabling this transformation increasingly rely on providing actionable insights at the point of care - signal processing, data analytics, and AI/ML-enabled algorithms are core diferentiators of these systems.
- This role requires close collaboration with clinical, software, hardware, firmware and QA/RA teams to ensure algorithms are validated, reliable, and ready for production deployment.
Responsibilities
- Take ownership of the design, implementation, and optimization of algorithms, from concept through prototyping and performance evaluation.
- Implement algorithms in production-quality code (embedded C/C++, Python, or equivalent), ensuring reliability, eficiency, and maintainability.
- Support Design Transfer of algorithms and software modules into production firmware and cloud-based systems.
- Serve as a primary technical contact for internal and external partners regarding algorithmic behavior, performance, and implementation constraints.
- Collaborate closely with hardware, firmware, and clinical science teams to ensure full alignment between signal acquisition hardware and algorithm design.
- Work with QA/RA and clinical teams to support documentation, traceability, and regulatory submissions.
- Support, Debugging & Continuous Improvement
- Support troubleshooting and root cause analysis of algorithmic or signal-quality issues observed in testing or manufacturing environments.
- Collaborate with operations and test engineering teams to optimize production test algorithms and signal validation workflows.
- Drive continuous improvement initiatives in algorithm robustness, noise immunity, and computational eficiency.
Requirements
- Qualifications Required
- Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or related field.
- Strong proficiency in Python, C/C++, or similar languages used for modeling and embedded implementation.
- Master's degree or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, or related field.
Compensation
- $117k-$161k
Benefits
- Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability.
- 3-5+ years of experience in signal processing, real-time algorithms, or embedded medical device software.
- Working knowledge of machine learning techniques applied to time-series or sensor data (e.g. regression, classification, anomaly detection).
This listing is sourced directly from Analog Devices's careers page and normalized into a canonical job model.