Senior LiDAR Data Scientist
$93K-$151K (Glassdoor est.)
Overview


Luminar is an autonomous vehicle sensor and software company with the vision to power every autonomous vehicle by delivering the only LiDAR capable of making them both safe and ubiquitous. Founded in 2012, Luminar is a 350-person team across Palo Alto, Orlando and Colorado Springs, and has raised more than $250M from prominent venture funds. Today, 12 of the world’s top 15 automotive companies are working with Luminar’s breakthrough technology as part of their global autonomous development programs, including Volvo Cars, Toyota Research Institute, and VW/Audi’s subsidiary, AID.

We are a diverse team of passionate and driven individuals, making us a powerhouse of innovation, design, engineering, and manufacturing. We are hiring the best and the brightest to accelerate the industry, and bring forward the next transportation revolution.

Responsibilities


Seeking an experienced statistician responsible for performing statistical analysis on LiDAR systems for use in the autonomous automotive market. This individual will apply their strong analytical, engineering and statistics skills to assess overall system performance, characterize algorithm performance, and perform troubleshooting at both the system level and algorithm level. The ideal candidate has prior experience processing image or point cloud data and knowledge of statistical learning methods.

Responsibilities:
Create and execute experimental designs to understand LiDAR system and subsystem performance
Continually improve the ability to report on LiDAR system and subsystem performance through the development and automation of data reporting and analysis routines
Apply analytical skills to not only root cause issues that involve LiDAR system performance but resolve future issues by providing and collaboratively implementing any recommendations
Analyze and process 3D point cloud data, which includes not only basic tasks such as extracting regions of interest, extracting targets in the scene based upon features, and performing plane fitting but more advanced tasks such as applying nearest neighbor algorithms, applying thresholding techniques, computing normals, applying iterative closest point algorithms, and performing basic segmentation
Write reports and presentations on LiDAR system performance for either internal or external dissemination
Interact with customers to review externally compiled LiDAR field performance test reports
Collaborate with a cross-functional calibration team to improve overall LiDAR calibration and resulting system performance
Collaborate with a LiDAR signal processing and algorithm team to characterize whether new algorithms and existing algorithms meet system performance requirements, which often requires either statistical simulations or data collection on staged or dynamic scenes
Collaborate with a systems engineering team to develop system requirements and test methodologies
Align data collection efforts with company data infrastructure services
Qualifications


Requirements:

Possesses either a:
Bachelor’s degree in Statistics, Math, or Engineering with 8+ years of relevant experience applying statistical analysis skills
Master’s degree in Statistics, Math, or Engineering with 5+ years of relevant experience applying statistical analysis skills
Very proficient in statistics with the ability to apply a strong knowledge of inferential statistics, design of experiments (DOE), and stochastic processes to real world problems
Very proficient working with scientific computing platforms, such as MATLAB and Python, and their associated statistical packages to analyze data
Ability to write high-quality presentations and white papers
Project experience showing competency in applying sensor-level processing such as image processing or point cloud processing techniques to real-world problems
Bonus Points:
Project experience showing competency in applying statistical learning methods to real-world problems
Project experience showing competency in applying either image processing or point cloud processing techniques to real-world problems
Familiarity with industry standard image processing and point cloud processing libraries, frameworks, or toolboxes
Thorough knowledge of full lifecycle processes in safety-critical industries such as automotive, medical, or military with a particular interest in first-hand ISO 26262, ISO 21448 (SOTIF), and Automotive SPICE experience
Previous exposure to validation or verification procedures especially performance qualification
Credential & Educational Requirements


Bachelor’s Degree in Statistics, Math, or Engineering

About Luminar


Luminar is an equal opportunity employer and we are committed to diversity and inclusion. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, marital or parental status, religion, age, disability, genetic information, service in the military, or any other characteristic protected by applicable federal, state or local laws. We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company.

Luminar offers competitive compensation and a generous benefits package.
Luminar Technologies
3.9
Luminar Technologies
