About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

Staff Embedded Software Engineer – AUTOSAR, Platform Software

At our cutting-edge electric vehicle company, we're seeking a visionary Lead Software Architect to spearhead the development of our next-generation automotive platform systems. This role is crucial in shaping the future of electric mobility.

Key Responsibilities

Architect and develop sophisticated platform software for powertrain electronic control units, from concept to production
Lead the implementation of AUTOSAR architecture for electronic control units, providing expert guidance to the Platform Software team
Interface cross functionally with different application domains as controls and ADAS and be the main architecture advisor and point of contact for all BSW activities
Drive the development of mission-critical components for electric vehicles, ensuring highest standards of reliability and performance
Orchestrate the integration of individual functions into control units, providing design, development, and debugging support
Optimize platform software through rigorous design and code reviews
Establish and implement robust design and product validation testing protocols
Propose and architect components that complement the AUTOSAR architecture to help fulfill vehicle requirements
Propose and implement processes that improve the overall efficiency of the team
Help ramp up and mentor new team members with different Lucid specific solutions that are implemented within the AUTOSAR echo system

Qualifications

Proven track record in developing and delivering AUTOSAR-compliant software for embedded systems
In-depth knowledge of AUTOSAR stack and proficiency with AUTOSAR configuration tools with understanding of the architecture
8+ years of experience
Mastery of C/C++ programming languages
Scripting experience using python
Expertise in interpreting schematics and data sheets
Experience with automotive ethernet focusing on applications relative to gatewaying between different protocols, Time Sensitive Networking and proven experience in optimizing network performance
Experience on software partitioning for Functional safety topics within the AUTOSAR ecosystem
Exposure to Cybersecurity implementations for communication stacks
Advanced skills in on-chip debugging and hardware-software troubleshooting
Experience with board bring-up and embedded systems optimization
Proficiency in scripting for software development and testing automation

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field is required.
Master's degree or higher education is preferred.

This role offers a unique opportunity to work at the forefront of electric vehicle technology, collaborating with some of the industry's brightest minds. Join us in revolutionizing sustainable transportation and making a lasting impact on the future of mobility.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.