Empresa:

Intellias

Descrição da Função

This project focuses on delivering next generation in vehicle digital experiences through a combination of Android/AOSP based In Vehicle Infotainment (IVI) applications and QNX/Linux based Instrument Cluster software. As part of the requirements engineering team, you will play a key role in defining, documenting, and maintaining clear, consistent, and traceable requirements across a wide range of vehicle functions.

Requirements:

• 6+ years of experience in requirements engineering, infotainment/automotive software.
• Strong understanding of IVI domains: HMI, media, connectivity, navigation, vehicle settings, or system services.
• Experience with requirements management tools (Codebeamer, Jama, Polarion, etc.).
• Familiarity with ASPICE processes, especially SWE.1 and SWE.2.
• Ability to write clear, concise, and testable requirements.
• Strong communication skills and ability to work with cross functional teams.
• Understanding of software development lifecycle, particularly for embedded or infotainment systems.

Responsibilities:

• Collect, analyze, and document functional and non-functional requirements for Infotainment features (HMI, media, connectivity, system services, etc.).
• Transform high level product inputs into structured, clear, and testable software requirements.
• Maintain end to end traceability (stakeholder system software test).
• Collaborate with UX, architects, and development teams to clarify behavior, edge cases, and acceptance criteria.
• Ensure requirements meet ASPICE SWE.1/SWE.2 expectations and support downstream SWE.3-SWE.6 activities.
• Participate in feature grooming, technical discussions, and change management
• Support integration and validation teams by clarifying expected behavior and resolving requirement gaps.
• Manage updates, change requests, and versioning in Codebeamer.
• Ensure alignment with design principles, system architecture, and platform constraints (Android-based or other IVI stack).
• Identify requirement risks, dependencies, and potential impacts across feature domains.

Observações

Not Specified (Portugal)