Perception –Machine Learning Algorithm Tech Lead, Autonomous Driving
Newark, California, United States
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.We are currently seeking a perception algorithm tech lead for our ADAS/Autonomous Driving team. This position requires an experienced professional with strong programming skills and solid knowledge of state-of-the-art perception algorithms.
As a member of the Lucid Motors perception team, you will play a key role in driving the research and development of the machine learning models which will push the state of the art in perception algorithms.
You'll serve as the technical lead to drive some ML initiatives, and you will work closely with our teams to infuse AI and machine learning capabilities into our products.
This role is located on-site at Headquarters in Newark, CA.
Role and Responsibilities- Work in a world-class ADAS/Autonomous Driving team
- Lead the design of the camera/lidar perception algorithm for Lv.2/3 autonomous driving systems. Building neural networks. Construct and develop cutting edge deep learning algorithms for computer vision tasks, 2D/3D object detection, segmentation, tracking and multi-task learning.
- Work closely with other teams to ensure a seamless and robust implementation.
- Support the production validation and verification of the perception algorithms using prototype vehicles, pre-production vehicles
- Lead the development of cutting edge S/W algorithms for the future autonomous driving systems
- Bachelor in the areas of Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering
- 8+ years of related experience.
- Strong theoretical foundations and knowledge with state-of-the-art works in deep learning algorithms on object detection, tracking, segmentation etc.
- Strong experience with Python programming language with an emphasis on good software engineering practices.
- Comfortable with reading, debugging and modifying large codebases for a particular deep learning model
- Excellent communication skills and good team player
- MS minimum in the areas of Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields
- At least 6 years of work experience or a Ph.D. with 3 years of experence.
- Experience writing efficient, clean code in C++
- A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving
- Experience in working in agile development teams
- Experience in component and system integration, testing and verification on system and vehicle level
Tags: Agile Autonomous Driving Computer Vision Deep Learning Engineering Lidar Machine Learning ML models Privacy Python Research Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Insurance
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