AV System Architect
AeroVectFull Time
Senior (5 to 8 years)
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve, with experience in automotive, safety, and/or robotic industries. They should understand how to integrate physics and engineering into foundational statistical methods and approaches, be a self-starter, and comfortable solving ambiguous problems.
The Lead Data Scientist Statistician will drive statistical methods for the development and evaluation of autonomous vehicle (AV) performance safety metrics, provide statistical expertise and guidance, and address safety assurance questions related to ADS behavioral performance and validation. They will work with large-scale data, scale data science work, accelerate time-to-delivery of insights, and play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Responsibilities include developing and standardizing statistical estimations and uncertainty models, implementing scalable ADS performance measurement solutions, assessing bias estimation and subsampling strategies, supporting data engineering and automation of pipelines, conducting statistical analysis to evaluate ADS driving software, and raising the bar for on-road safety by improving safety and AV measurement.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.