Senior ADAS Behavior & Planning Software Engineer

Lucid Motors-LA

Newark (CA)

On-site

USD 158,000 - 218,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability coverage
Paid time off
Paid holidays
401(k) retirement plan
Equity program
Annual cash incentive

Job summary

Lucid Motors is seeking a Behavior Planning Engineer to manage the software stack on our ADAS/Autonomous Driving team and develop planning and prediction solutions. You will analyze fleet and simulation data to extract critical scenarios and drive ML-based approaches to production.

The role requires strong C++ and Python skills, solid software design, and experience with large-scale data systems in a fast-paced environment.

Qualifications

  • Proficiency in C++ and Python with 3+ years of academic/industry experience in data analysis and management libraries.
  • Demonstrated expertise in software design principles, focusing on scalable data management systems.
  • Understanding and exposure to non‑ML planning methods.
  • Research ML-based planning and prediction solutions and bring them to production.

Responsibilities

  • Design, prototype, engineer, test, release and launch cutting edge features for ADAS/Autonomous Driving.
  • Conduct research to develop state-of-the-art ML-based planning and prediction solutions and take them to production.

Skills

C++
Python
Data analysis
Software design principles
Non-ML planning methods
ML planning

Education

BS/MS/PhD in Computer Engineering/Computer Science/Data Science

Tools

Embedded platforms
ML frameworks

Job description

Lucid Motors is seeking a Behavior Planning Engineer to manage the software stack on our ADAS/Autonomous Driving team and develop planning and prediction solutions. You will analyze fleet and simulation data to extract critical scenarios and drive ML-based approaches to production.

The role requires strong C++ and Python skills, solid software design, and experience with large-scale data systems in a fast-paced environment.

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