Staff Embedded Software Engineer - AUTOSAR, Platform SoftwareAt 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.
Base Pay Range (Annual)
$179,400-$263,120 USD
Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
