Staff Software Engineer, ADAS Feature and Diagnostics

We are seeking a Staff Software Engineer – ADAS Feature and Diagnostics to join our team. 

This role is based in Newark, CA and requires employees to be onsite five days a week. 

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. 

• 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 

• 8+ 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 

• 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) 

• 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 

• Familiarity with CI/CD pipelines, build systems, and automated test frameworks 

• Strong understanding of communication protocols (CAN, Ethernet) and tools like Vector CANape/CANoe 

• Experience with middleware (e.g., DDS) and real-time distributed system integration 

• Practical experience testing ADAS/AD features in both simulation and real-vehicle environments