Verification & Validation with Artificial Intelligence Testing on W2 at PDDN INC.

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jun, 26

Salary

0.0

Posted On

01 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Automation, Testing, Validation, Neuromodulation, Risk Management, Documentation, Cross-Functional Leadership, CI/CD, API Testing, User Interface, Data Handling, Telemetry, Exploratory Testing, Requirements Traceability

Industry

IT Services and IT Consulting

Description

Job Description Role: V&V Engineer – AI-Driven Testing & Validation Work location: Plano, TX Job Type: Contract Interview: Phone/Skype Job Description: Job Description: Validation Engineer (AI-Driven Test & Validation) Job Title - Validation Engineer – AI-Driven Testing & Validation Role Summary We are seeking a Validation Engineer with an innovative mindset to modernize how we test and validate neuromodulation software applications (e.g., clinician tools, patient apps, therapy management applications, device companion software). This role will apply AI/ML and intelligent automation techniques to transform the test and validation lifecycle—improving speed, coverage, traceability, and defect prevention while meeting medical device quality and regulatory expectations. This is an ideal role for someone who is fluent in V&V rigor and also excited about rethinking testing using AI-assisted approaches such as test generation, risk-based prioritization, log anomaly detection, intelligent regression selection, requirements-to-test mapping, and documentation automation. --- Key Responsibilities 1) Modernize the Testing & Validation Paradigm Using AI · Design and implement AI-assisted testing approaches to improve effectiveness and reduce cycle time, such as: o Intelligent test case generation from requirements, hazards, and user workflows o AI-based regression test prioritization and selection o Automated exploratory testing support (session-based + AI insights) o Defect clustering and root-cause hints from telemetry/logs o AI-assisted test review and gap analysis · Identify high-value opportunities to replace manual, repetitive testing with automation + intelligent decisioning while maintaining compliance. 2) Verification & Validation for Neuromodulation Applications · Own and execute verification and validation (V&V) for software applications supporting neuromodulation therapy workflows. · Develop risk-based test strategies across unit, integration, system, and release validation. · Validate end-to-end workflows such as: o Therapy setup/configuration support o Patient/clinician workflows and UI behaviors o Data handling, storage, sync, and reporting o Connectivity scenarios (pairing, reconnects, dropped links, offline mode) o Error handling, alarms/notifications, and safe behaviors 3) Automation & Test Infrastructure · Build and maintain automated test frameworks for web/mobile/desktop applications (as applicable), including: o UI automation, API/integration tests, and service virtualization o Test data generation and environment management o CI/CD integration with quality gates and automated reporting · Establish repeatable, auditable test execution pipelines and improve test reliability (flakiness reduction, stable test environments). 4) Risk Management & Safety-Driven Validation · Translate hazard analysis outputs (e.g., FMEA, hazard tables) into explicit, testable safety requirements and verification evidence. · Ensure validation covers: o Safety constraints and guardrails o “Misuse” and human error scenarios o Boundary conditions, stress and performance scenarios o Fail-safe behavior and clear user messaging 5) Traceability, Documentation, and Audit Readiness · Produce and maintain V&V deliverables suitable for a regulated environment: o Test plans, protocols, reports, and objective evidence o Requirements Traceability Matrix (RTM) and coverage reporting o Defect documentation with severity rationale and verification of fixes · Use AI to accelerate documentation while ensuring correctness, reviewability, and compliance (e.g., structured templates, auto-linking evidence). 6) Cross-Functional Leadership & Change Enablement · Partner with Software, Systems, Quality, Regulatory, Human Factors, and Clinical stakeholders. · Champion continuous improvement: propose new approaches, run pilots, and scale successful innovations across programs. · Develop internal guidance, playbooks, and training to help the organization adopt AI-driven validation methods safely and responsibly. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The Validation Engineer will modernize testing and validation processes for neuromodulation software applications using AI-driven techniques. Key responsibilities include designing AI-assisted testing approaches, executing verification and validation, and building automated test frameworks.