Role Summary This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects – instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it. This position should be held by a Computer Science Engineer, or equivalent, with experience in the development of Software and Software architectures. Role Responsibilities Machine Learning Development •Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.

•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.

•Coordinates with engineers at the ICC and in Germany on the development of autonomous driving

software.

•Transfers technologies and solutions to Volkswagen Group development divisions. Process Documentation and Representation •Develops technical specifications and documentation.

•Represents Volkswagen Group in the technical community, such as at conferences.

Qualifications

Qualifications

·7-10yearsofprofessionalexperience.

·5+ years’DeepLearning Education

Required

·Master’sDegreeinComputerScienceorequivalent. Desired

·PhDStronglyPreferred. Skills

·Strongknowledgeofdifferentmachinelearningalgorithms. SpecializedSkills

Required

·BackgroundinDeepNeuralNetworkLearning,ComputerVisionandMachineLearning.

·StrongprogrammingskillswithPythonandTensorFlow/Pytorchonon-premcomputeandpublic clouds (e.g. AWS).

·Knowledgeofgeneratingfeaturesfromsensortechnologylikecamera,lidar,radar,GPS/D-GPSand HD maps.

Experiencewithdatagathering,dataquality,systemarchitecture,codingbestpractices.

·Takeinitiativetolaunchprojectswiththeabilitytoquicklylearnanddevelopownideasinan interdisciplinary environment.

·Extractinghighlevellogicalstructurefromlowlevel,multi-dimensionaldata.

·Experiencewith CNNs, GANs, Diffusion Models, VAE, Transformers, Reinforcement/Imitation Learning.

Specification/Documentationofinterfacesbetweensoftwaremodules.

Significantamountofpublishedresearcharticles. Desired

·Familiarity with Large/Visual Language Modeling.

·GraphicalModels.

·Prompt tuning

·ObjectDetection,NLP,SceneUnderstanding.

·BackgroundorstronginterestinautomotiveEngineering

·ExperiencewithC++,CUDA,OpenCVand GPU programming.

·BigDataandcloudexperiencestronglypreferred.

·Experiencewithcameras,LIDAR,IMU,GPS,othersensingmodalities.

·Experienceinaregulatedindustry–automotive,aeronautics,medicaldevicesetc. ·Passionforcarsorphysicalproducts. WorkFlexibility

·Travelisestimatedtobe5-10%,asneededwithinU.S.andoverseas. In Silicon Valley (California), the salary range for this role will be $155,000 - $170,000, depending on education and years of relevant experience. Salary is determined by geographical location and adjusted accordingly.  Other benefits for this position include: · Eligibility for annual performance bonus · Healthcare benefits · 401(k), with company match · Defined contribution retirement program. · Tuition reimbursement · Company lease car program · Paid time off