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Qorvo, Inc. Logo

Sr Software Engineer

Qorvo, Inc.

Salary not specified
Sep 6, 2025
Greensboro, NC, US
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Qorvo is looking to automate the testing of RF devices, enhance decision-making, and improve system intelligence by leveraging AI technologies, including LLMs, within their software platforms.

Requirements

  • Proficiency in C-Sharp.NET, Python, and object-oriented programming
  • Experience integrating AI technologies into engineering workflows
  • Familiarity with prompt engineering and AI system design
  • Experience with database architecture (SQL, PostgreSQL, DataBricks)
  • Experience using Jira for software project management (Jira administration experience preferred)
  • Experience with Git and agile development methodologies
  • Understanding of electronics (analog, digital, and RF theory) preferred

Responsibilities

  • Develop and implement automated RF test solutions for WiFi, LTE, and other wireless components (e.g., power amplifiers, switches, FEMs)
  • Design and maintain software systems using C-Sharp.NET, VB.NET, Python, and other modern languages
  • Integrate AI technologies, including LLMs and machine learning, into test platforms to enhance automation, data interpretation, and user interaction
  • Design and write system prompts for LLMs to optimize performance in engineering workflows
  • Design and maintain database systems for efficient data storage, retrieval, and analysis
  • Lead the development of RF test system architecture using industry-standard equipment (Spectrum Analyzers, Signal Generators, PXI, etc.)
  • Troubleshoot and resolve software and hardware issues, optimizing system performance

Other

  • Collaborate with cross-functional teams to evaluate and deploy new improvements and solutions
  • Administer and configure Jira projects and workflows to support agile development and issue tracking
  • Create formal documentation for hardware, software, and system architecture
  • Mentor junior engineers in RF testing, software development, and AI integration
  • Communicate technical and business risks effectively to stakeholders