Senior Hardware Integrity Engineer – AI-Driven Validation

ASPBP; Phoenix, Northern (AZ, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

401k with employer match

Paid time off

Parental leave

Medical, dental, and vision plans

Fitness programs

Wellness support

Learning and development

Snacks in office

Job summary

Axon is seeking a Sr. Engineer II in Product Integrity to lead validation for highly complex hardware programs, including body-worn cameras and IoT devices.

You will design advanced validation plans, apply AI/ML and modeling to predict failure modes, and push for faster validation cycles with digital twins and analytical tools. onsite in Phoenix, collaboration across hardware, firmware, quality, and regulatory teams.

Qualifications

• Bachelor's degree in Electrical or Mechanical Engineering or related field; advanced degree a plus.
• 12+ years of hardware test, validation, or reliability engineering experience.
• Track record leading validation for complex electromechanical or electronic hardware through mass production.
• Experience applying AI/ML, statistical modeling, or simulation to optimize test strategy and reduce cycle time.
• Deep expertise in environmental and reliability test methods and the standards that govern them (MIL-STD-810, IEC 60529, IEC/EN 62368, ISO, ASTM).
• Strong software/scripting skills (Python or similar) for test automation, data pipelines, and modeling.
• Experience leading failure analysis and root-cause investigations on cross-disciplinary hardware issues.
• Excellent communication skills with a track record of influencing technical direction with senior leadership.
• Experience with connected/IoT hardware, wearables, or public safety technology is a plus.
• Six Sigma Black Belt certification a plus.

Responsibilities

• Own validation strategy and execution for the technically complex, hardware programs, from requirements through prototype, and production release.
• Design, plan, and execute advanced validation test plans covering functional, environmental (thermal, vibration, ingress, drop/shock), EMC/EMI, reliability, and safety compliance testing.
• Advance the team's testing methodology by introducing AI/ML-driven analysis, predictive modeling, and simulation to identify failure modes earlier and reduce reliance on physical test cycles.
• Build and champion tools and models (e.g., digital twins, accelerated life models, ML-based anomaly detection) that optimize test coverage, prioritize high-value test cases, and shorten validation timelines.
• Support Failure Analysis (FA) and Root Cause Analysis (RCA) on the most complex or ambiguous failures, partnering with Hardware, Firmware, Quality and Manufacturing engineering to drive corrective action.
• Set technical standards for Validation Test Procedures (VTPs), test automation, and data infrastructure across the product integrity organization.
• Partner with Hardware Engineering, Firmware, Manufacturing, Quality, and Regulatory teams to shape test strategy, acceptance criteria, and reliability requirements at the program level.
• Represent Product Integrity in technical reviews with senior engineering and program leadership and influence design decisions using data-driven risk assessments.
• Mentor Sr. Engineers, Engineers, and Technicians on advanced test methods, statistical techniques, and emerging tools.
• Evaluate and pilot new test technologies, instrumentation, and AI/modeling tools, and drive their adoption across the team.

Skills

AI/ML

Python

Test automation

Reliability testing

Statistical modeling

DOE

Digital twins

RCA

Communication

Leadership

Six Sigma Black Belt

Education

Bachelor's degree in Electrical/Mechanical Engineering or related field

Advanced degree a plus

Tools

Digital twins

Modeling tools

DOE

Job description

Axon is seeking a Sr. Engineer II in Product Integrity to lead validation for highly complex hardware programs, including body-worn cameras and IoT devices.

You will design advanced validation plans, apply AI/ML and modeling to predict failure modes, and push for faster validation cycles with digital twins and analytical tools. onsite in Phoenix, collaboration across hardware, firmware, quality, and regulatory teams.