Role Responsibilities: Requirements Analysis and Decomposition: Analyze and decompose system-level requirements into clear, actionable software tasks. Collaborate closely with system engineers to ensure alignment on ADAS feature requirements and system design integrity.
SW integration: Develop and maintain integration pipeline for controls ADAS software to ensure automation of development and build pipelines.
CI/CD infrastructure: Design, build, and maintain CI/CD infrastructure for L2/ L2++ ADAS projects, enabling scalable, automated build, integration, and validation pipelines to support rapid development and reliable software delivery. Software Design and Architecture: Design robust, scalable software architectures for ADAS feature integration that meet functional, safety, and performance standards. State Machine Implementation: Design and implement detailed state machine models for various ADAS features (active safety, driving, and parking). Validate correct logic through unit testing, SIL/HIL testing, and in-vehicle evaluation. Cross-functional Collaboration: Partner with cross-functional teams including systems, product owner, validation, platform and controls to ensure seamless integration of ADAS features across the vehicle platform. Documentation and Reporting: Maintain thorough documentation of software design, requirements traceability, unit test cases, and validation outcomes. Required Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field 6+ years of experience in software development and software integration Full-cycle software development experience with autonomous driving systems-from requirements to production deployment Strong skills in C/C++/python and modeling environments such as MATLAB/Simulink
Familiarity with CI/CD pipelines, build systems, and automated test frameworks Strong debugging and problem-solving skills; comfortable working across embedded systems and real-time applications Excellent communication skills and the ability to work effectively in a fast-moving, collaborative environment Preferred Qualifications: Master's degree with 6+ years experience, or Ph.D. with 3+ years experience Hands-on experience with embedded platforms such as NVIDIA Xavier/Orin and Aurix; strong debugging and diagnostic skills across multicore architectures Strong understanding of communication protocols (Ethernet) and tools like Vector CANape/CANoe
Practical experience testing ADAS/AD features in both simulation and real-vehicle environments
Deep knowledge in one or more areas of ADAS systems such as behavior planning, motion planning, or vehicle control Experience with safety-critical systems and standards (e.g., ISO 26262, AUTOSAR)