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Hardware testing AI Engineer

Atinfo Technology IncCarlton, TX🇺🇸United StatesPosted Oct 6, 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to drive innovation in Generative AI, real-time data processing, and hardware testing, perfect for an experienced engineer eager to shape cutting-edge technology. You'll thrive by leveraging your Python and AI expertise to build scalable solutions and collaborate with diverse teams, contributing to impactful projects within a reputable company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Carlton, TX, United States
Posted
17 hours ago
SQLAWSEmbedded SystemsFlinkMLOpsAzureGPTGenerative AIGoogle CloudIoTKafkaPandasPython

Job Description

Hardware Testing-AI Engineer 

We are looking for an experienced AI Engineer with strong experience in Generative AI, Python, real-time data processing, and hardware/embedded testing.

Responsibilities

  • Develop and deploy GenAI solutions using LLMs, multimodal models, embeddings, RAG, and AI agents.
  • Build Python-based data pipelines and work with real-time/streaming data using Kafka, Spark, Flink, or similar technologies.
  • Develop real-time dashboards, monitoring, and data quality validation solutions.
  • Develop and execute hardware/software test plans, including functional, integration, system, and performance testing.
  • Validate sensor outputs, device connectivity, hardware/software integration, and system functionality.
  • Troubleshoot hardware, firmware, software, and connectivity issues.
  • Collaborate with hardware, firmware, embedded, AI/ML, and software engineering teams.
Required Skills
  • 7–8 years of experience in AI/ML, software engineering, data engineering, or related fields.
  • Strong Generative AI and Python experience.
  • Experience with multiple LLMs such as GPT, Claude, Gemini, Llama, or Mistral.
  • Experience with real-time/streaming data and technologies such as Kafka, Spark Streaming, or Flink.
  • Hands-on hardware/embedded systems testing and system validation experience.
  • Experience with sensors, device connectivity, embedded systems, IoT, or hardware interfaces.
  • Strong SQL and experience with Pandas, PySpark, or similar frameworks.
  • Familiarity with AWS, Azure, or Google Cloud Platform.
  • RAG, vector databases, AI agents, and MLOps/LLMOps are a plus.
Hardware/Embedded Experience – Required

Candidates must provide specific examples of:

  • Hardware/software platform tested
  • Types of sensors used
  • Communication/connectivity technologies
  • HW/SW test plans created or executed
  • Functional, integration, system, and performance testing performed
  • Embedded development/testing or hardware troubleshooting experience

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field required.

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