ADAS Machine Learning Engineer
Newark, CA
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.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 a Machine learning engineer to join our team. You will collaborate with distinguished engineers to solve the most challenging problems in artificial intelligence data engines. You will participate in various software development cycles to discover the real problems in AD data engines, design robust and scalable solutions, and implement your ideas into production.
Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection.
The Role:
- Research, develop, and deploy state-of-the-art Deep Neural Networks and Machine learning workflows for Autonomous Driving domain.
- Develop Machine Learning algorithms from requirement gathering, data cleaning, experimentation to all the way to deploying a scalable application on the cloud.
- Work with diverse data-domain. E.g. Camera data, Lidar point clouds, RADAR signals, GPS, and other vehicle signals timeseries.
- Develop Machine Learning codebase for efficient training, testing, and deployment pipelines.
- Conduct Machine Learning experiments, publish internal reports, and file patents.
- Help solidify existing algorithms, and work with large amounts of real and simulation data to continuously improve performance.
Qualifications:
- Strong programming skills in Python.
- Knowledge of TensorFlow/PyTorch, Scikit-learn, xgboost, Pandas, Matplotlib, Seaborn, OpenCV, Point Cloud Library, Numpy, etc.
- Experience with deployment tools: Docker, Kubernetes, Pytest, AWS, SQL, Git, Linux etc.
- Experience with handling real-time sensors relevant to Autonomous Driving is preferred.
- Experience in maintaining and working large datasets.
- Solid experience in a fast-paced and structured engineering environment
- At least 3 years relevant software engineering experience is preferred.
- Ability to thrive under pressure, ambiguity and time constraints
Educational Requirements:
- MS or Ph.D in the areas of Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, Robotics, or other related fields
Be part of something amazing
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.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Tags: Autonomous Driving AWS Computer Science Docker Engineering Git Kubernetes Lidar Linux Machine Learning Matplotlib NumPy OpenCV Pandas Pipelines Python PyTorch Radar Research Robotics Scikit-learn Seaborn SQL TensorFlow Testing XGBoost
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