Sr 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.
  
  Required Qualifications:
  • 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
  
  Preferred Qualifications:
  • Master’s degree with 4+ 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)