Jobs and Careers
LU
Staff Software Engineer - BSP Engineer ADAS/AD
Lucid MotorsUnited Statesfull_timeVerifiedPosted 9 Mar 2024
About the role
Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.We are currently seeking a Staff Software Engineer to join our ADAS Platform SW organization focusing on BSP development. This requires an experienced professional with a background in embedded software engineering. The ideal candidate exhibits a can-do attitude and approaches his or her work with determination. Candidates will be expected to demonstrate excellence in their respective fields, possess the ability to learn quickly, and strive for perfection within a fast-paced environment.
Qualifications:
Advantageous:
Education:
Qualifications:
- 8+ years of relevant experience
- Proficiency in C/C++ programming languages
- Proficiency w/ Linux/QNX fundamentals
- Experience with board bring-up
- Working knowledge of device drivers and peripherals such as I2C, UART, SPI, PCIe, RGMII, SGMII
- Understanding of Secure Boot, File System Encryption
- Experience in ARM and TEE Environment
- Experience with bootloaders, firmware update
- Experience in reading schematics and data sheets
Advantageous:
- Experience in development of Autonomous or Assisted driving systems
- Experience with GPU based H/Ws
- Experience with Camera interfaces viz CSI, MIPI, GMSL
- Extensive work experience in design and development of Cyber Security methodologies and comply to Security standards
- In-depth technical knowledge of cryptography hardware, key management and certificate management
Education:
- Bachelor’s in Computer Science, Computer Engineering, Electrical Engineer or related field
- Preferred: Master's in Computer Science, Computer Engineering, Electrical Engineer or related field
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