
Staff Software Engineer - ADAS Feature Integration & Development
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Job Description
We are seeking a Staff Software Engineer - ADAS Feature Integration & Development 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
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Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
