V&V Engineer - AI-Driven Testing & Validation

V&V Engineer - AI-Driven Testing & Validation

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days arethe same.

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.

This is an on-site role located in Dallas, TX

• Design and implement AI-assisted testing approaches to improve effectiveness and reduce cycle time.

• Identify high-value opportunities to replace manual, repetitive testing with automation + intelligent decisioning while maintaining compliance.

• 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:
  Therapy setup/configuration support;
  Patient/clinician workflows and UI behaviors;
  Data handling, storage, sync, and reporting;
  Connectivity scenarios (pairing, reconnects, dropped links, offline mode); and Error handling, alarms/notifications, and safe behaviors.

• Build and maintain automated test frameworks for web/mobile/desktop applications (as applicable).

• Establish repeatable, auditable test execution pipelines and improve test reliability (flakiness reduction, stable test environments).

• Translate hazard analysis outputs (e.g., FMEA, hazard tables) into explicit, testable safety requirements and verification evidence.

• Ensure validation covers:
  Safety constraints and guardrails, “Misuse” and human error scenarios, Boundary conditions, stress and performance scenarios, Fail-safe behavior and clear user messaging.

• Use AI to accelerate documentation while ensuring correctness, reviewability, and compliance (e.g., structured templates, auto-linking evidence).

• Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering, or related technical field

• 5+ years of experience within Verification & Validation

• 2+ years of experience applying GenAI to software development lifecycle (SDLC) processes

• Demonstrated experience implementing AI-assisted testing approaches and intelligent automation

• Experienced in Jira, Playwright, Git Hub Copilot, Gemini or equivalent GenAI Tools.

• Advanced degree in Computer Science, AI/ML, or related field

• Experience with neuromodulation devices or other medical device software

• Certifications in AI/ML

The base compensation range for this role in the posted location is: $65,200 - $169,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the…