Staff Feature Owner – ADASAD Driving Features

About Lucid

At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 productionhappening in-houseacross our global offices the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape the future of mobility.

We are seeking aStaff Feature Ownerto lead the development and delivery of next-generationL2L3 and L4 Autonomous Driving featureswithin the ADAS/AD team. This role focuses onhighway andurban driving autonomy including hands-off/eyes-off driving capabilities supervised and unsupervised automated driving and advanced drivermonitoringintegration.

This position requires a seasoned professional with deepexpertiseinhigher levels of driving automation a strong understanding of the transition from L2 assisted driving to conditionally and highly automated (L3/L4) driving and a proventrack recordof bringing innovative ADAS/AD software features into production. Our ideal candidateexhibitsa can-do attitude approaches their work with vigor and determination and thrives in a fast-paced cross-functional environment.

ROLE AND RESPONSIBILITIES

• Conceptualize prototype and launchcutting-edgeL2/L3/L4 driving features including but not limited to:

• • Hands-off highway driving with driver monitoring system (DMS) supervision

• • Automated lane changes and highway merge/exit maneuvers

• • Urban automated driving (intersections traffic signals roundabouts)

• • Conditional automation (L3) with fallback-ready transition of control (ToC) strategies

• • Geo-fenced L4 highway pilot with minimal driver intervention

• • Advanced longitudinal and lateral control (steering braking acceleration) on ODD-defined roads

• Own the end-to-end feature lifecycle from concept through production launch ensuringtimelydelivery offullyvalidatedhigh-quality customer features

• Create and manage feature roadmaps for multiple vehicle program lines securing buy-in from stakeholders including marketing homologation safety and executive leadership

• Serve as the voice of the customerrepresentingL2/L3/L4 features in all internal and external communications

• Develop comprehensive feature definitions including use cases operational design domains (ODD) functional requirements and target performance KPIs

• Collaborate closely with the Functional Safety team tofacilitateHARA Safety Goal development and SOTIF (Safety of the Intended Functionality) analysis specific to higher automation levels

• Drive feature specifications using creative ideas and lead usability studies with UX/UI design teams focusing on seamless handoff experiences between automated and manual driving

• Partner with Tier 1 suppliers and internal teams (perception planning controls mapping) to implement innovative L2/L3/L4 solutions

• Lead competitive benchmarking to stay current with industry trends emerging regulations and competitor L3/L4 offerings

• Work cross-functionally with systems engineering software validation and homologation teams to ensure seamless and robust feature development and delivery

• Support V&V strategy development for higher automation features including scenario-based testing simulation and real-world validation approaches
  

REQUIRED QUALIFICATIONS:

• Bachelors degree in computer science Electrical Engineering Automotive Engineering Mechanical Engineering Robotics or a related field

• 8 years of hands-on experience in ADAS/AD feature development with a focus on L2 and above driving automation features

• Proventrack recordof bringing ADAS/AD driving features into production (e.g. highway assist traffic jam pilot automated lane change hands-off driving)

• Strongexpertisein use case development ODD definition and requirements engineering for L2/L3/L4 features

• Solid understanding of SAE J3016 automation levels and the functional/architectural differences between L2 L3 and L4 systems

• Experience with automotive supplier interaction specification development project/release management and change management

• Strong understanding of regulations and standards relevant to higher automation:

• • Regulations: FMVSS GSR ECE R79 ECE R157 DCAS-R171

• • Standards: ISO 26262 ISO/PAS 21448 (SOTIF)ASPICE ISO 34502/34503

• Proficiencywithrequirements management tools(JAMA DOORS etc.)

• Proficiencywithagile development toolssuch as JIRA

• Excellent communication skills and ability to present complex automation concepts to both technical and non-technical audiences

Preferred Qualifications:

• Masters degree in systems engineering Electrical Engineering Computer Science Robotics or a related field

• Previousexperience as a Feature Owner or Product Owner for L2/L3/L4 driving functions at an OEM or Tier 1 supplier

• Experience with driver monitoring systems (DMS) and their integration with hands-off/eyes-off driving modes

• Familiarity with scenario-based testing frameworks simulation tools ( CARLA) andSiL/HiLvalidation for AD features

• Knowledge ofperceptionsensor suites (camera radar LiDAR ultrasonics) and sensor fusion architectures relevant to L3/L4

• Understanding of motion planning path planning and decision-making algorithms at a conceptual level

• Experience with Euro NCAP testing and scoring methodologies particularly for assisted driving grading schemes

• Knowledge of in-vehicle communication protocols (CAN LIN Automotive Ethernet)

• Experience with feature-level project management and ADAS software development processes

• Familiarity with OTA (Over-the-Air) update strategies for iterative feature deployment