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Mindlance

Principal Software Quality Engineer

Mindlance, Bellevue, Washington, us, 98009

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Client:

Leading Medical Device Manufacturer

Position:

Principal Software Quality Engineer⏳

Duration:

6+ Months (Possible Extension)

Location:

Remote (U.S.)

About the Role We are seeking a

Principal Software Quality Engineer

to provide technical leadership and quality oversight for

software and hardware product development

within a regulated

medical device environment . This role is ideal for someone who thrives in a cross-functional setting, ensuring compliance, innovation, and patient safety across the full product lifecycle.

Key Responsibilities

Lead

Quality Engineering

activities across software and hardware development teams, ensuring compliance with design control and risk management processes.

Develop and maintain the

Risk Management File (RMF)

including hazard analyses, dFMEAs, pFMEAs, and related documentation.

Provide quality input and approvals for

Design History Files (DHF) , including design inputs, verification & validation, and test planning documentation.

Drive

software quality best practices —including code reviews, software security assessments, and software BOM oversight.

Offer statistical expertise in

test method validation

and design verification/validation.

Participate in

design reviews

to ensure effective product transfer from R&D to production.

Support

CAPA management , audit readiness, and process improvements related to design controls and quality systems.

Collaborate on software anomaly resolution (e.g., bugs, cybersecurity vulnerabilities) and guide remediation efforts.

Required Qualifications

8+ years of progressive

Quality Engineering experience

in the

medical device industry , supporting both

hardware and software development .

Strong knowledge of regulatory and quality standards, including: FDA 21 CFR 820 ,

ISO 13485 ,

ISO 14971 ,

IEC 60601 ,

IEC 62304 , and

IEC 62366 .

Proven experience in

design verification/validation ,

risk management , and

software lifecycle processes .

Proficiency with

statistical analysis tools

(e.g., Minitab) and

quality system management (QMS) .

Excellent communication, problem-solving, and leadership skills with the ability to influence cross-functional teams.

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