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Software Integration Engineer - New Grad (2027)

Applied Intuition· 2026-2027 New Grad
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Sunnyvale$123k - $158kFull-timePosted 2mo ago

About the role

Software Integration Engineer role focused on delivering full-system, end-to-end software integrations spanning software and hardware for automotive-related products at Applied Intuition.

Responsibilities

  • Deliver full-system, application-level software features spanning both software and hardware in C/C++, meeting customer requirements
  • Develop end-to-end software integrations in C/C++, including applications such as: Matrix headlight control, Smart vehicle access via mobile app integration, In-car voice assistant functionality, etc.
  • Collaborate cross-functionally with hardware and electrical teams to develop and deploy systems that enable custom software feature integration for intelligent vehicles
  • Build a deep understanding of automotive system architecture and the interactions between software and hardware components
  • Design and bring up test rigs for end-to-end system testing and on-vehicle validation
  • Debug, test, and troubleshoot integrations between various software components to ensure reliability and system performance

Qualifications

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Mechatronics, Mechanical Engineering, or a related field graduating by December 2026 or Summer 2027
  • Strong understanding of computer science fundamentals and software engineering
  • Strong programming skills in C/C++
  • An understanding of electronic systems and how to setup and debug them
  • Comfortable working in a fast-paced, dynamic startup environment
  • 1+ year of experience in any field, or equivalent combination of education and experience

Skills

Required:C/C++Software integrationElectronic systems debugging
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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