Sr AI Engineer

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Summary

Location

Belmont (Hybrid)

Salary

$214k-249k/year

Work

Full-time

Experience

7+ years

About this Job

As MOIA America, we develop and realize fully autonomous mobility and transportation services. Our mission is to make mobility-and transportation-as-a-service safe, accessible and most attractive for society. For that, we cover the entire ground from strategy and business development, software development and end-2-end integration, fleet operations to next-generation self-driving systems. Being the driver in Volkswagen Group initiative for mobility solutions, we’re an integral part of Volkswagen Group's future success.

Brief Role Description

Maintain, further, and enhance existing machine learning modules for autonomous vehicles, including methods around industrialization of MaaS/TaaS; design and implement new machine learning based approaches based on existing frameworks; test developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etc.); analyze and evaluate conducted tests; present project/progress reports and presentations to top management, mentors, partners, and project affiliates; transfer technologies and solutions to ADMT GmbH, CARIAD; manage and coordinate the tech scouting process; expand research network between ADMT LLC and local entities; initiate and implement partnerships with external partners (companies, research institutions, universities) within Silicon Valley and US; transfer project outcomes to internal partners; secure intellectual property; keep up to speed with the state of the art of academic research and technology in the industry. Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training. In Belmont, CA the salary range for this position is $213,512-$248,900. Full-time position, hybrid.

Qualification requirements

Bachelor’s degree in Computer Science or related field or equivalent and 84 months of experience. Experience must have included: Deep Neural Network Learning, Computer Vision and Machine Learning; Python and TensorFlow; generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS and HD maps; data gathering, data quality, system architecture, coding best practices; extracting high level logical structure from low level, multi-dimensional data; Neural Networks such as CNNs, RNN, LSTMs, reinforcement and imitation learning paradigms and the latest research trends; specification/documentation of interfaces between software modules; programming languages/tools such as C++, Python, Git, Linux; data structures and algorithms; open source libraries such as OpenCV, CUDA; project management. Domestic and international travel up to 10%.

MOIA America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

About the Company

Volkswagen AG logo

Volkswagen AG

Public Company
Automotive ManufacturingTransportation & Autonomous VehiclesRobotics Software & AI

The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility Imprint & Legal: http://vw.de/legal-notice DAT: http://vw.de/dat

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