Staff Regulatory Affairs Engineer

About The Role

The Staff Regulatory Affairs Engineer is the primary regulatory strategist and architect for our AI/ML Software as a Medical Device (SaMD) portfolio. While many companies view Regulatory Affairs as a purely administrative function, at Hinge Health we leverage this role as a technical discipline—hence the "Engineer" title.

In this role, you will be responsible for the hands-on authorship and management of regulatory submissions (510(k), De Novo, Pre-Subs) for our cutting-edge AI products. You will partner closely with Product, Clinical, and Engineering teams to interpret the evolving FDA framework for AI/ML, helping us navigate complex pathways like Predetermined Change Control Plans (PCCP). You will also own the internal regulatory functions that support our Quality Management System, ensuring our rapid innovation remains compliant.

What You’ll Accomplish

Submission Leadership (AI/ML SaMD): Lead the planning, authorship, and submission of regulatory filings (510(k), De Novo, Q-Submissions) for AI/ML-enabled software. You will be the primary author, not just a reviewer, translating complex technical and clinical data into compelling regulatory narratives.

Regulatory Strategy & AI Policy: Develop and execute regulatory strategies for new product introductions and major software updates. You will serve as the internal authority on the FDA’s evolving AI/ML Action Plan, guiding the business on how to validate and monitor adaptive algorithms.

Design Control & Change Impact: Participate in Design Reviews and Change Control Boards (CCB) to assess the regulatory impact of software changes. You will determine when a new 510(k) or "Letter to File" is required, specifically evaluating changes to AI models and retraining pipelines.

QMS & Internal Compliance: Support the maintenance of the Quality Management System (QMS) by ensuring regulatory requirements (21 CFR 820, ISO 13485) are reflected in internal procedures. You will act as the Regulatory representative during internal and external audits (FDA, ISO).

Promotional Review: Review and approve labeling, marketing materials, and user manuals to ensure claims are substantiated and consistent with cleared indications for use.

Post-Market Surveillance & Vigilance: Partner with Quality to monitor post-market performance of AI models. You will lead the assessment of complaints for regulatory reporting requirements (e.g., eMDRs) and manage any necessary recalls or field actions.

Cross-Functional Coaching: Educate technical teams on regulatory principles, demystifying the submission process and helping engineers understand how their documentation directly supports regulatory clearance.

Basic Qualifications:

Education: Bachelor’s degree in Biomedical Engineering, Software Engineering, Regulatory Science, or a related technical/scientific field.

Experience: A minimum of 4-6 + years of experience in Regulatory Affairs within the medical device industry, with a minimum of 3 years focused on Software as a Medical Device (SaMD) or Digital Health.

Submission Expertise: Proven track record of authoring and clearing US FDA Class II submissions (510(k) or De Novo). Experience interfacing directly with FDA reviewers during the review clock.

Technical Fluency: Ability to understand software architecture, cloud infrastructure, and AI/ML concepts sufficiently to describe them to regulators. Familiarity with IEC 62304 and FDA Guidance on Software Validation.

Preferred Qualifications:

AI/ML Specifics: Direct experience with regulatory submissions involving Machine Learning, Deep Learning, or Computer Vision. Familiarity with Good Machine Learning Practice (GMLP) principles and Predetermined Change Control Plans (PCCP).

International Experience: Experience with international registrations, particularly EU MDR (CE Marking) for software, or Health Canada requirements.

Data Analysis: Ability to review statistical analysis plans and clinical validation reports to ensure they meet regulatory expectations for substantial equivalence or safety/effectiveness.

Agile Integration: Experience working in an Agile/Scrum environment and adapting regulatory submission timelines to iterative software release cycles.

About Hinge Health

Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.

Learn more at http://www.hingehealth.com