Analog Devices

Analog Devices

Senior Algorithms Engineer

US, MA, Wilmington · Senior

Sponsorship not specified$117k-$161kDetected 115 days ago
PythonC++CAlgorithmsGitMachine LearningDeep LearningData AnalysisData ScienceStatisticsRoboticsElectrical EngineeringSignal ProcessingMedical DevicesCommunicationCollaboration

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role78
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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

Level I · 1×
Level I$114,2751 entry
Level II$138,2372 entries
Level III$162,1983 entries
Level IV$186,1604 entries

$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.

Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 91%

Of 11 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 453 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

24 transfer filings in the last year, covering 24 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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.

Community outcomes

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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).
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This listing is sourced directly from Analog Devices's careers page and normalized into a canonical job model.