AI-Enabled Embedded Firmware Test Engineer

Enterprise Mobility Inc

Carrollton (TX)

On-site

USD 110,000 - 160,000

Full time

34 hours ago
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Job summary

Enterprise Mobility Inc. seeks an AI-enabled Embedded Firmware Test Engineer to advance automated testing for embedded control systems.

You will design AI-driven test frameworks, write Python automation, and ensure full requirements-to-test traceability across hardware, firmware, and software domains. The role emphasizes leveraging Generative AI/LLMs for test-case generation, log analysis, and defect classification, while collaborating with global engineering teams to improve quality and

Qualifications

  • BS/MS in Electrical, Electronics, Computer Engineering, Computer Science, or a related field.
  • 5+ years of experience in embedded firmware testing, system verification, and test automation.
  • Strong Python programming and scripting skills with experience developing automated test solutions.

Responsibilities

  • Design and develop AI-enabled automated test frameworks for embedded control systems.
  • Develop Python-based test automation for embedded firmware, hardware I/O, and control systems.
  • Create optimized test strategies with complete requirements-to-test traceability and coverage.
  • Leverage AI/ML and Generative AI to improve test coverage, test generation, defect analysis, and debugging efficiency.
  • Analyze test logs and production issues using automation and intelligent analytics to identify trends and potential root causes.
  • Develop and execute functional, integration, system, regression, white-box, and black-box tests.
  • Collaborate with firmware, hardware, software, QA, and program management teams throughout the product lifecycle.
  • Lead testing activities across global and multi-site engineering teams.
  • Investigate and resolve issues identified during testing and production.
  • Continuously evaluate emerging AI, automation, and embedded technologies to improve testing processes and product quality.
  • Support development of intelligent quality engineering solutions for next-generation embedded controls.

Skills

AI/ML-assisted testing
Python programming
Embedded firmware testing
Test automation
AI-based engineering tools
Data-driven testing

Education

BS/MS in Electrical, Electronics, Computer Engineering, or Computer Science

Tools

Git
Defect management tools
Oscilloscopes

Job description

AI-Enabled Embedded Firmware Test Engineer
Role Overview

We are seeking an 7 to 8 years of AI-enabled Embedded Firmware Test Engineer with strong experience in embedded systems, firmware validation, test automation, and Python. The ideal candidate will leverage AI/ML, intelligent automation, and data-driven testing to improve embedded product verification, test coverage, defect analysis, and overall testing efficiency.

Key Requirements
  • BS/MS in Electrical, Electronics, Computer Engineering, Computer Science, or a related field.
  • 5+ years of experience in embedded firmware testing, system verification, and test automation.
  • Strong Python programming and scripting skills with experience developing automated test solutions.
  • Experience with AI/ML-assisted testing, intelligent test automation, or AI-based engineering tools.
  • Ability to use AI tools such as Generative AI/LLMs to accelerate test case generation, test analysis, debugging, documentation, and automation.
  • Hands‑on experience interfacing hardware I/O, control systems, automation platforms, and measurement equipment.
  • Strong knowledge of white-box and black-box testing, test design, test execution, and requirements traceability.
  • Experience with source control, configuration management, defect tracking, and requirements management.
  • Experience collaborating with global/multi-site engineering and testing teams.
  • Firmware development experience is preferred.
  • Experience with oscilloscopes and electronic measurement tools is a plus.
  • HVAC/BMS, automotive, industrial automation, or process-control experience is highly desirable.
AI & Automation Skills
  • Experience applying Generative AI/LLMs to software and firmware testing workflows.
  • Knowledge of AI-assisted test-case generation, test-script generation, log analysis, defect classification, and root-cause analysis.
  • Experience developing Python-based automation and intelligent testing frameworks.
  • Ability to analyze large volumes of test results and identify patterns, anomalies, and potential failures using data-driven/AI techniques.
  • Familiarity with AI coding assistants and engineering productivity tools.
  • Understanding of machine learning concepts and their application to predictive testing, anomaly detection, and quality engineering is a plus.
Key Responsibilities
  • Design and develop AI-enabled automated test frameworks for embedded control systems.
  • Develop Python-based test automation for embedded firmware, hardware I/O, and control systems.
  • Create optimized test strategies with complete requirements-to-test traceability and coverage.
  • Leverage AI/ML and Generative AI to improve test coverage, test generation, defect analysis, and debugging efficiency.
  • Analyze test logs and production issues using automation and intelligent analytics to identify trends and potential root causes.
  • Develop and execute functional, integration, system, regression, white-box, and black-box tests.
  • Collaborate with firmware, hardware, software, QA, and program management teams throughout the product lifecycle.
  • Lead testing activities across global and multi-site engineering teams.
  • Investigate and resolve issues identified during testing and production.
  • Continuously evaluate emerging AI, automation, and embedded technologies to improve testing processes and product quality.
  • Support development of intelligent quality engineering solutions for next-generation embedded controls.
Preferred Technology Exposure

Embedded: Firmware, Embedded Controls, Hardware I/O, CAN/Modbus or similar protocols

Programming: Python, C/C++ preferred

AI/ML: Generative AI, LLMs, Machine Learning, Anomaly Detection, AI-assisted Testing

Automation: Test Frameworks, Automated Hardware-in-the-Loop (HIL), CI/CD

Tools: Git, Requirements/Defect Management Tools, Oscilloscopes and Measurement Equipment

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