Product Test Engineer: Auto Test Systems & Validation

Anduril Industries, Inc.

Santa Ana (CA)

On-site

USD 132,000 - 175,000

Full time

7 days ago
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Benefits offered by this job

Equity grants
Benefits package

Job summary

Anduril Industries in Santa Ana, CA is seeking a Product Test Engineer to lead test strategy from concept to production. You will deploy automated test systems for high-volume manufacturing, design fixtures and interfaces, and optimize test coverage across the product lifecycle.

You will perform root cause analysis on failures, drive corrective actions with design and manufacturing teams, and mentor junior engineers while leveraging data analytics to improve yield.

Qualifications

  • Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields OR 6+ years of advanced knowledge acquired through work experience and/or intellectual instruction in lieu of degree
  • 4+ years of relevant experience in manufacturing test or hardware/system integration
  • Experience working with contract manufacturers on PCBA and electronic assembly testing, with thorough knowledge of PCBA testing standards and methods
  • Proficiency with electronics test equipment such as power supplies, electronic loads, oscilloscopes, function generators, spectrum analyzers, and data acquisition systems
  • Hands-on experience with board-level communication interfaces such as SPI, I2C, and UART for test development and debug
  • Familiarity with Python, LabVIEW, and/or MATLAB for test automation, data parsing, and visualization
  • Strong understanding of networking fundamentals including TCP/IP, routing protocols, network architecture, and end-to-end signal flow
  • Strong root cause analysis skills and excellent written/verbal/interpersonal communication
  • Ability to travel to remote sites and eligible to obtain/maintain active U.S. Secret security clearance

Responsibilities

  • Own the end-to-end product test strategy from concept through production launch, including DFT requirements, test coverage models, yield targets, and quality metrics
  • Deploy, commission, and continuously improve automated test systems for high-volume manufacturing, driving scalability and production readiness
  • Design and specify custom test fixtures, tooling, and interfaces to support product validation and production testing
  • Collaborate with board designers to define and specify custom interface boards and test access points that maximize test coverage across the product
  • Define and optimize structural and functional test strategies, including ICT, MDA, and flying probe, to ensure comprehensive fault coverage and balance between structural defect detection and functional validation
  • Perform root cause analysis on field and manufacturing failures, drive corrective actions across design, quality, and manufacturing engineering, and validate resolution through regression testing
  • Leverage test data analytics to identify trends, predict failures, and drive yield improvement
  • Develop and maintain test plans, procedures, and user documentation within configuration management and MES systems
  • Work with contract manufacturers to replicate, validate, and maintain test capability at external production sites
  • Train and mentor junior engineers and technicians on test methodologies, equipment operation, and troubleshooting procedures

Skills

Root cause analysis
Communication skills
Willingness to travel

Education

Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields OR 6+ years of equivalent experience

Tools

Oscilloscopes
Function generators
Spectrum analyzers
Data acquisition systems
SPI
I2C
UART
Python
LabVIEW
MATLAB
Linux

Job description

Anduril Industries in Santa Ana, CA is seeking a Product Test Engineer to lead test strategy from concept to production. You will deploy automated test systems for high-volume manufacturing, design fixtures and interfaces, and optimize test coverage across the product lifecycle.

You will perform root cause analysis on failures, drive corrective actions with design and manufacturing teams, and mentor junior engineers while leveraging data analytics to improve yield.

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