STAFF EMBEDDED SW ENGINEER
Quick Summary
Research, design, develop, and update software for FF’s autonomous-driving and intelligent-cockpit platforms. Analyze user and system
Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled technologies.
Founded in 2014, the Company’s mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world’s best talent to realize exciting new possibilities across all of these lines. Faraday Future’s automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.
We are seeking a Staff Embedded Software Engineer to lead the design and development of high-performance embedded systems. This role requires deep expertise in firmware, real-time operating systems, and hardware-software integration. The ideal candidate will provide technical leadership, drive architecture decisions, and collaborate cross-functionally to deliver scalable and reliable products.
Responsibilities
~2 min read- →Research, design, develop, and update software for FF’s autonomous-driving and intelligent-cockpit platforms.
- →Analyze user and system requirements; design and implement software components and services; validate and optimize performance; coordinate integration with hardware and cross-functional teams; and prepare technical documentation and status reports. Requirements analysis & specification (15%).
- →Analyze user needs and software requirements for ADAS and intelligent-cockpit features; define functional interfaces, performance targets, and constraints for embedded deployment on Linux/automotive OS.
- →Prepare and maintain technical specifications and status reports. Software design & development (30%). Design, develop, and modify software systems and platform services, including the ADAS sensor HAL (e.g., camera, LiDAR) and middleware components (e.g., ROS 2), on Qualcomm/NVIDIAbased platforms (e.g., Drive OS) and Linux; apply scientific analysis and engineering techniques to predict and measure outcomes.
- →Maintenance & optimization (15%). Modify existing software to correct defects, adapt to new hardware/interfaces, upgrade components, and improve performance, safety, and security; determine and maintain system performance standards and runtime optimization (latency, memory, throughput). Testing & validation (10%).
- →Develop or direct test strategies and procedures (unit/integration/HIL), create automation where feasible, validate software behavior against requirements, and ensure systems operate in conformance with specifications.
- →Coordinate software installation and releases to target vehicle platforms. Cross-functional collaboration (10%). Confer with systems analysts, hardware/firmware engineers, and other stakeholders to design interfaces, resolve limitations, integrate hardware and software, and plan new installations or modifications.
- →Consult with partner teams on project status and technical issues. AI/algorithm enablement (embedded focus) (10%).
- →Apply emerging AI/ML technologies where appropriate to enhance ADAS and cockpit capabilities, emphasizing embedded deployment and runtime efficiency consistent with platform constraints (e.g., sensor fusion, perception pipelines).
- →Documentation & configuration (5%). Prepare project documentation (design docs, test results, release notes) and maintain code repositories, CI/CD pipelines, and configuration management in alignment with company standards. Mentoring/coordination (5%)
Requirements
~1 min read- Master’s degree (or foreign equivalent) in electrical engineering, optical science & engineering, computer science, or a closely related field
- minimum of 5 years of experience in software engineering, software development, or a closely related field
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 2, 2026
- First seen
- June 2, 2026
- Last seen
- June 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- June 2, 2026
Signal breakdown
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