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Senior Software Quality Engineer

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Onsite

Senior Software Quality Engineer

Meet Life Sciences

Senior Software Quality Engineer

Skills

CybersecurityMachine LearningAICompliance

10 days ago

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Important information


Contract type:

Permanent

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Summary

We are partnering with a rapidly growing neurotechnology client in San Francisco focused on developing complex neuro devices. They are seeking a Senior Software Quality Engineer to partner cross-functionally with Engineering and Quality teams to ensure products meet high-quality and regulatory standards throughout the development lifecycle. This is a hands-on role supporting software, systems engineering, supplier activities, and QMS implementation.

Primary Responsibilities

  • Support implementation of the QMS in compliance with FDA QMSR, ISO 13485, IEC 62304, IEC 62366-1, and related standards.
  • Maintain Design History Files (DHFs), including requirements, design specifications, V&V documentation, risk files, cybersecurity records, and traceability matrices.
  • Lead risk-management activities such as FMEA and hazard analysis in accordance with ISO 14971.
  • Support software validation and computerized system assurance activities.
  • Collaborate with suppliers and support design-transfer activities.
  • Participate in internal and external audits.
  • Support CAPAs, nonconformances, root-cause analysis, and quality-data reviews.
  • Promote continuous improvement across Engineering and Quality teams.

Qualifications

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field.
  • 8+ years of quality engineering or medical-device development experience.
  • Strong knowledge of FDA, ISO 13485, IEC 62304, ISO 14971, and IEC 62366-1.
  • Experience in regulated medical-device environments.
  • Hands-on software V&V and design-control experience.
  • Strong experience with FMEA, risk analysis, CAPA, and DHF documentation.
  • Experience with eQMS tools and strong documentation skills.
  • AI/ML experience is a plus.
  • Strong communication, critical-thinking, and cross-functional collaboration skills.
  • Comfortable working in a fast-paced, early-stage environment.

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