About The Position

The Role As a Senior Software Engineer on the Advanced Initiatives team within ADAS DRIVE organization, you will operate at the intersection of vehicle integration and data‑collection pipeline innovation. You will lead bring‑up of development fleet properties (mules, PPTB, PTB, PPV, etc.) and collaborate across functions to build interim tools and solutions, strengthen data‑collection standards, and accelerate data‑driven ADAS development.

Requirements

  • Bachelor’s degree in computer science, Electrical Engineering, or related field.
  • Minimum of 5 years of experience in SW development/testing and MCU/SOC
  • A demonstrated track record of building high quality software systems meeting modern software design best practices
  • Self-motivation and passion to code, encourage best practices, and constantly improve
  • Flexible, resourceful, and proactive in tackling undefined challenges solving problems and supporting cross-disciplinary efforts.
  • Skilled with software integration tools such as Vector, Intrepid, INCA, dSpace
  • Skilled with advanced development tools & techniques in both autonomy and automotive spaces)
  • In-depth knowledge of hardware and software interfaces (CAN, Ethernet)

Nice To Haves

  • Background in vehicle software deployment, testing, or calibration workflows.
  • Exposure to SDV (Software Defined Vehicle) platforms or simulation environments.
  • Experience in software and hardware development life cycles, data infrastructure/pipeline, integration processes, and test/validation complexity

Responsibilities

  • Lead and support sensing and compute retrofits on current vehicle platforms to reproduce prototype system behaviors and testing integration interfaces for future vehicle architectures.
  • Collaborate with cross-functional teams to support functionalities bring-up, debug issues, and ensure readiness for feature testing.
  • Build interim solutions to connect and activate system functionality across modules during early-stage development.
  • Enhance existing tools or create new utilities to streamline integration and data analysis workflows.
  • Optimize and consolidate data collection configurations to increase the reliability of data-collection to reduce complexity in processing in the pipeline
  • Create scripts and automation to streamline and automate data collection and processing efforts.
  • Communicate clearly with technical and non-technical stakeholders, maintain current documentation, and recommend innovative approaches based on emerging technologies.

Benefits

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