Lucid Careers

ADAS/Autonomous Driving S/W Architect

Autonomous Driving

Newark, CA      Full-Time

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Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.

We are currently seeking an experienced Software Architect. This position requires an experienced professional with a strong background in complex software architectures in embedded, highly distributed environments.




The Role:

  • Define the SW architecture and interfaces for ADAS and AD features
  • Interact closely with other teams for a coherent architecture up to the system level
  • Work closely with functional safety and cyber-security experts to refine the SW architecture to meet the required functional safety and security requirements
  • Coordinate resource allocation such as network bandwidth, memory and compute on the target hardware
  • Experience with software deployment on distributed ECUs and in VMs on hypervisors

Qualifications:

  • Expertise with a proven track record for structuring massive embedded software projects for robotic/automotive applications involving real-time execution, heterogeneous data communication, parallel and distributed computing, middleware layers, real-time operating systems
  • Deep knowledge of SysML/UML and related architecture modelling tools (e.g. Enterprise Architect)
  • Proficiency in C++ and C software development
  • Familiarity with standard software design patterns
  • Excellent communication and documentation skills
  • Automotive software development or software architecture experience

Advantageous:

  • Knowledge of redundant, highly-available and secure systems
  • Knowledge of other programming languages (e.g. Python, JavaScript, etc)
  • Proficiency with agile development tools and environments

Education:

  • BS minimum in the areas of Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, Robotics, or other related fields
  • At least 3 years of work experience in highly related fields (5 years or a PhD for a lead / senior position)
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