Faraday Future
Overview
Faraday Future (FF) is a California-based mobility company. We are seeking a highly skilled Senior Embedded Software Engineer to join our ADAS platform development team. The engineer will design, implement, and optimize embedded frameworks for advanced driver-assistance systems (ADAS) on platforms such as NVIDIA Orin/Thor or Qualcomm 8797. Responsibilities include developing and integrating ADAS frameworks with vehicle systems, evaluating platform capabilities, and ensuring seamless sensor integration and vehicle control outputs. Familiarity with open-source ADAS stacks, ML/AI model optimization, and cross-platform inference engines is highly preferred. Base pay range $135,000.00/yr - $155,000.00/yr Salary/Location and Role Context Base pay information retrieved from the job description. Location expectations are not explicitly stated here; roles may be in California with related travel or onsite requirements. Responsibilities
Requirements Analysis & Specification: Analyze ADAS platform requirements and define technical specifications for system-level framework development. Evaluate platform capabilities such as task scheduling, inter-process communication, log/data management, OTA, and diagnostics to meet safety and performance needs. Software Design & Development: Design and implement ADAS framework components on NVIDIA Orin/Thor or Qualcomm-based platforms (e.g., task scheduling, messaging, logging, OTA, diagnostics, and Health). Develop middleware and integration layers to support sensors (cameras, radars, LiDARs) and control outputs to vehicle actuators (braking, steering, acceleration) over CAN/LIN/Ethernet. Integrate open-source ADAS stacks into automotive-grade systems, ensuring compatibility with platform hardware/software ecosystems and optimize inference on CUDA or SNPE toolchains. Maintenance & Optimization: Optimize platform performance for stability, latency, and reliability. Enhance ADAS frameworks to support scalability, maintainability, and efficient debugging. Testing & Validation: 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. Cross-Functional Collaboration: 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. Documentation & Configuration: Document system architecture, design decisions, and integration procedures. Maintain configuration management for multi-platform builds and the continuous integration process. Basic Qualifications
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. Preferred Qualifications
Proven experience integrating open-source ADAS/AV stacks, with knowledge of its module architecture (perception, planning, control) and adaptation to proprietary hardware. Familiarity with simulation tools and HIL testing environments for ADAS validation. Knowledge of machine learning deployment in ADAS pipelines (e.g., TensorRT for Nvidia, Hexagon DSP for Qualcomm). Experience with Vector tools (CANoe, CANalyzer) for validating ADAS-related features. Annual Salary Range
($135,000 - $155,000 DOE), plus benefits and incentive plans Perks & Benefits
Healthcare + dental + vision benefits (Free for you/discounted for family) 401(k) options Casual dress code + relaxed work environment Culturally diverse, progressive atmosphere Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
Faraday Future (FF) is a California-based mobility company. We are seeking a highly skilled Senior Embedded Software Engineer to join our ADAS platform development team. The engineer will design, implement, and optimize embedded frameworks for advanced driver-assistance systems (ADAS) on platforms such as NVIDIA Orin/Thor or Qualcomm 8797. Responsibilities include developing and integrating ADAS frameworks with vehicle systems, evaluating platform capabilities, and ensuring seamless sensor integration and vehicle control outputs. Familiarity with open-source ADAS stacks, ML/AI model optimization, and cross-platform inference engines is highly preferred. Base pay range $135,000.00/yr - $155,000.00/yr Salary/Location and Role Context Base pay information retrieved from the job description. Location expectations are not explicitly stated here; roles may be in California with related travel or onsite requirements. Responsibilities
Requirements Analysis & Specification: Analyze ADAS platform requirements and define technical specifications for system-level framework development. Evaluate platform capabilities such as task scheduling, inter-process communication, log/data management, OTA, and diagnostics to meet safety and performance needs. Software Design & Development: Design and implement ADAS framework components on NVIDIA Orin/Thor or Qualcomm-based platforms (e.g., task scheduling, messaging, logging, OTA, diagnostics, and Health). Develop middleware and integration layers to support sensors (cameras, radars, LiDARs) and control outputs to vehicle actuators (braking, steering, acceleration) over CAN/LIN/Ethernet. Integrate open-source ADAS stacks into automotive-grade systems, ensuring compatibility with platform hardware/software ecosystems and optimize inference on CUDA or SNPE toolchains. Maintenance & Optimization: Optimize platform performance for stability, latency, and reliability. Enhance ADAS frameworks to support scalability, maintainability, and efficient debugging. Testing & Validation: 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. Cross-Functional Collaboration: 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. Documentation & Configuration: Document system architecture, design decisions, and integration procedures. Maintain configuration management for multi-platform builds and the continuous integration process. Basic Qualifications
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. Preferred Qualifications
Proven experience integrating open-source ADAS/AV stacks, with knowledge of its module architecture (perception, planning, control) and adaptation to proprietary hardware. Familiarity with simulation tools and HIL testing environments for ADAS validation. Knowledge of machine learning deployment in ADAS pipelines (e.g., TensorRT for Nvidia, Hexagon DSP for Qualcomm). Experience with Vector tools (CANoe, CANalyzer) for validating ADAS-related features. Annual Salary Range
($135,000 - $155,000 DOE), plus benefits and incentive plans Perks & Benefits
Healthcare + dental + vision benefits (Free for you/discounted for family) 401(k) options Casual dress code + relaxed work environment Culturally diverse, progressive atmosphere Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr