Software Integration Engineer

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.
• 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, validation, and controls to ensure seamless integration of ADAS features across the vehicle platform.
• Continuous Improvement:
  Identify opportunities to optimize development workflows and improve software robustness, efficiency, and maintainability.
• Documentation and Reporting:
  Maintain thorough documentation of software design, requirements traceability, unit test cases, and validation outcomes.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field
• 6+ years of experience in software development and feature integration
• Full-cycle development experience with ADAS or autonomous driving systems—from requirements to production deployment
• Strong skills in C/C++ 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

• 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)