Senior Engineer II, Product Integrity (Onsite)

Axon•Phoenix, AZ

13d•Onsite

About The Position

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As a Sr. Engineer II on the Product Integrity team, you will be a senior technical contributor driving how Axon proves its hardware is ready for the field. In addition to owning validation for the most complex and highest-risk programs across body-worn cameras, TASER energy devices, sensors, and connected hardware, you'll push the team beyond traditional test-and-inspect methods applying AI, machine learning, and modeling/simulation to predict failure modes, optimize test coverage, and cut validation cycle time. This is a hands-on individual contributor role for an expert who sets the technical direction for product integrity methodology and raises the bar for the entire team.

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related field (advanced degree a plus).
12+ years of experience in hardware test, validation, or reliability engineering.
Demonstrated track record leading validation for complex electromechanical or electronic hardware products through mass production.
Hands-on experience applying AI/ML, statistical modeling, or simulation (e.g., digital twins, reliability/Weibull modeling, DOE, predictive analytics) to optimize test strategy and reduce cycle time.
Deep expertise in environmental and reliability test methods (e.g., HALT/HASS, vibration, thermal, ingress, drop/shock, EMC) 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 tools.
Experience leading failure analysis and root-cause investigations on ambiguous, cross-disciplinary hardware issues.
Excellent communication skills, with a track record of influencing technical direction with senior engineering and program leadership.

Nice To Haves

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.