AI Engineer Sr

VW. Two letters. Endless opportunities. A bright future.

Innovation. Sophistication. Optimization. This is our Passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. 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 comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity.

As ADMT, 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.

Artificial Intelligence Engineer Sr.

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Role Summary:

The Center of Excellence within the ADMT LLC focuses on applied research and pre-development with the goal to evaluate and/or develop and transfer innovative technology from industries and research institutions into the autonomous driving domain for technology/supplier decisions and to build the strategic base for a further development of a VW Group owned vertical integrated AD-stack. This specific role has the main focus areas:

to know and understand the future of AI and to derive requirements on sensor technologies and compute architectures / technologies

to develop reference processes, methods and tools need to enable, scale and industrialize MaaS/TaaS applications

to implement those and define KPI to evaluate and benchmark these enablers for autonomous driving

to conduct benchmarks and assessments

to collaborate with internal and external partners

Role Responsibilities:

Software Development and Testing - (80%)

Maintains, as well as furthers, and enhances existing machine learning modules for autonomous vehicles, not necessarily the software stack for driving but methods around industrialization of MaaS/TaaS and with that to increase availability of service

Designs and implements new machine learning based approaches based on existing frameworks

Keeps up to speed with the state of the art of academic research and technology in the industry

Tests developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etc.)

Analyzes and evaluates conducted tests

Presents project/progress reports and presentations to top management, mentors, partners, and project affiliates

Transfers technologies and solutions to ADMT GmbH, CARIAD

Manages and coordinates the tech scouting process

Network Development - (10%)

Expands research network between ADMT LLC and local entities

Initiates and implements partnerships with external partners (companies, research institutions, universities) within Silicon Valley and US

Transfers project outcomes to internal Volkswagen Group partners (ADMT GmbH, CARIAD)

Communicates regularly and influences partners in Germany

Strategic Management - (10%)

Secures intellectual property

Qualifications - External

Years of Relevant Experience:

7+ years

Education - Required:

BA Degree in Computer Science or equivalent

Education - Desired:

MA or PhD strongly preferred

Skills:

Strong technical background of different machine learning algorithms

Strong project management and business development skills

Communication & documentation skills

Problem solving skills

Analytical skills

Conceptual thinking skills

Integration - joining people, processes or systems

Excellent verbal and writing skills

Detailed knowledge of autonomous driving and software technologies

Strong attention to detail

Specialized Skills - Required:

Software and Artificial Intelligence (AI) technologies & technical skills

Background in Deep Neural Network Learning, Computer Vision and Machine Learning

Strong programming skills with Python and TensorFlow/Pytorch PyTorch on on-premises compute and public clouds (e.g. AWS), Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS and HD maps

Experience with data gathering, data quality, system architecture, coding best practices

Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment

Extracting high level logical structure from low level, multi-dimensional data

Experience with different types of Neural Networks such as Transformers, CNNs, RNNLLMs, LSTMs, GNNs,

Experience with different Client paradigms such as supervised/unsupervised learning, reinforcement learning, self-supervised learning, and imitation learning paradigms and the latest research trends

Specification/Documentation of interfaces between software modules.

Programming languages/tools as Python, C , Python, LaTex, Bash, Cmake, Git, Linux, familiar with data structures and algorithms, machine learning and math

Knowledge in using open-source libraries: OpenCV, OpenGL, TensorRT, Open3D, CUDA, Open3D, PCL

Project Management & leadership

Experience running one or more projects simultaneously.

Project managing tasks - manage timelines, budgets, resource planning, risk etc.

Effective at communicating with teams across cultures and in different times zones

Specialized Skills - Desired:

Experience with algorithm development for Autonomous Driving tasks including Perception, Sensor Fusion, Motion Prediction, Path Planning, End-to-End Driving, Simulation, V2X

Experience with current state-of-the-art technologies such as Vision-Language Models, Neural Radiance Fields, Embodied AI, Deep Sensor Fusion, Generative AI

Experience with AI/Client compute optimization techniques such as quantization, knowledge distillation, compilation, sparse computing.

Experience in programming concepts: Data filters/pipelines, multi-threading, programming for various types of SoC, real-time systems.

Experience in a regulated industries such as automotive, aerospace, medical devices etc.

Experience in one or more of the following technical areas:

Compute architectures and technologies.

Sensor technologies

Robotics

Broad knowledge of full vehicle interrelationships automotive systems and interfaces between them

High level of engagement and self-initiative