Staff Software Engineer – ADAS Feature and Diagnostics
| Company | Lucid Motors |
|---|---|
| Location | Newark, CA, USA |
| Salary | $163700 – $240020 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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
Responsibilities
- 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.
- Design robust, scalable software architectures for ADAS feature integration that meet functional, safety, and performance standards.
- 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.
- Partner with cross-functional teams including systems, validation, and controls to ensure seamless integration of ADAS features across the vehicle platform.
- Identify opportunities to optimize development workflows and improve software robustness, efficiency, and maintainability.
- Maintain thorough documentation of software design, requirements traceability, unit test cases, and validation outcomes.
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