Senior Embedded Software Engineer, Faraday Future

• The ideal candidate will have proven experience in designing, implementing, and optimizing embedded frameworks for advanced driver-assistance systems (ADAS) on platforms such as NVIDIA Orin/Thor or Qualcomm 8797
• Familiarity with open-source ADAS stack, ML/AI model optimization, and cross-platform inference engines is highly preferred
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Software Engineering, or a closely related field
• 7+ years of Linux-based embedded software development experience in automotive or related domains
• Proven experience with ADAS frameworks on NVIDIA Orin/Thor, Qualcomm 8797, or similar high-performance embedded platforms
• Hands-on experience with sensor integration (cameras, radars, LiDARs) and control outputs via CAN/LIN/Ethernet
• Experience in ML/AI model optimization and inference deployment using ONNX(or other deep learning models), CUDA, TensorRT, or SNPE
• Strong programming skills in C/C++ and Python for embedded Linux System development
• Deep knowledge of embedded Linux/RTOS, inter-process communication, scheduling, and memory management
• Experience in OTA updates, diagnostics, and system performance optimization
• Familiarity with diagnostic standards and protocols, such as UDS over IP or CAN
• Solid understanding of log management, data pipelines, and real-time debugging tools
• Strong problem-solving and cross-functional communication skills

Desirable

• We are seeking a highly skilled Senior Embedded Software Engineer to join our ADAS platform development team
• The engineer will play a key role in developing and integrating ADAS frameworks with vehicle systems, evaluating and enhancing platform capabilities, while also ensuring seamless integration of sensor inputs and vehicle control outputs
• This role will analyze ADAS platform requirements and define technical specifications for system-level framework development
• Evaluate platform-level capabilities such as task scheduling, inter-process communication, log/data management, OTA, and diagnostics to meet safety and performance needs
• Design and implement ADAS framework components on NVIDIA Orin/Thor or Qualcomm-based platforms, such as task scheduling, messaging, logging, OTA, diagnostics and Health
• Develop middleware and integration layers to support sensors (cameras, radars, LiDARs) and control output to vehicle actuators (braking, steering, acceleration) over CAN/LIN/Ethernet
• Integrate open-source ADAS stacks into automotive-grade systems, ensuring compatibility with platform-specific hardware and software ecosystems, and optimize inference on CUDA or SNPE toolchains
• Optimize platform performance for stability, latency, and reliability
• Enhance ADAS frameworks to support scalability, maintainability, and efficient debugging
• Conduct integration testing of ADAS framework components with perception modules, decision-making units, and vehicle actuators
• Perform platform stress testing and ensure compliance with automotive safety and reliability standards
• Work closely with hardware, systems, and vehicle integration/test engineers to ensure robust end-to-end performance
• Engage with external vendors and partners for toolchain, platform, and sensor integration
• Document system architecture, design decisions, and integration procedures
• Maintain configuration management for multi-platform builds and continuous integration process