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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.
Job Responsibility:
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
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 have:
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