Volkswagen of America, Inc · 2 days ago
Senior AI ML Ops Engineer - Must have Autonomous Driving Experience
Volkswagen of America, Inc is focused on developing fully autonomous mobility and transportation services. They are seeking a Senior AI ML Ops Engineer with autonomous driving experience to develop scalable AI and ML solutions, conduct benchmarks, and collaborate with partners to advance their autonomous driving technology.
Responsibilities
Build scalable AI and ML based solutions to support production AD development use cases including simulation, data analytics, perception, behavior modeling, scene understanding, and fleet operations
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 solutions in simulated, prototype, and real-world vehicles (virtual testing, 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
Develop KPI and operations frameworks for continuous validation and MLOps
Build CI/CD AI deployment pipelines to serve models to production teams
Manages and coordinates the tech scouting process
Communicates regularly and influences partners in US and Germany to define, implement, and deliver new applied AI solutions to satisfy production needs
Expands research network between ADMT LLC and local entities
Manage resource allocation, budget, timelines, and deliverables for work packages
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)
Secures intellectual property
Qualification
Required
Must have experience with algorithm development for Autonomous Driving tasks including Perception, Sensor Fusion, Motion Prediction, Path Planning, End-to-End Driving, Simulation, Data Analytics, and Artificial Intelligence (AI) technologies & technical skills
Background in Deep Neural Network Learning, Computer Vision, and Machine Learning
Experience with the complete applied AI/ML development process for a variety of model and problem types: problem definition, architecture definition, training and validation, hyperparameter tuning, cloud deployment and operations, etc
Strong hands-on experience in building and deploying models on both on-premises compute and cloud compute (e.g., AWS)
Experience with feature extraction and engineering from camera, lidar, radar, GPS/ D-GPS and HD maps, object-lists, large-scale fleet data, live data and offline data
Excellent knowledge and practical experience with simulation frameworks such as VTD, Unity, Unreal, ASM or similar
Experience with software-in-the-loop testing, and good knowledge of hardware-in-the-loop testing
Experience with data analytics, data-lake modeling, data preparation and quality assessment, building training/validation data pipelines from data lakes to AI models
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, RNNs, LLMs, LSTMs, GNNs, Foundation Models
Experience with different ML 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++, LaTex, Bash, Cmake, Git, Linux, familiar with data structures and algorithms, machine learning and math
Experience with common applied AI and software development tools/libraries: Kubernetes, AWS Sagemaker, Docker, HuggingFace, Weights & Biases, OpenCV, OpenGL, TensorRT, CUDA, Open3D, PCL
Preferred
Experience with current state-of-the-art AI technologies such as Vision-Language Models, Neural Radiance Fields, Agentic AI, Embodied AI, Generative AI, Deep Sensor Fusion
Experience with algorithm development for simulation and data analytics use cases, including AI digital twins, scene understanding, outlier detection, synthetic data generation, scenario modeling, traffic modeling, neural reconstruction, AI automation, etc
Good knowledge of scenario-based testing, and test design for the validation of autonomous vehicles
Experience with AD specialized tooling, datatypes, and workflows: DSPACE, OpenScenario, SOTIF, OpenDRIVE, ROS
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
Benefits
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
Company
Volkswagen of America, Inc
Founded in 1955, Volkswagen of America, Inc., an operating unit of Volkswagen Group of America, Inc. (VWoA) is headquartered in Reston, Virginia.
H1B Sponsorship
Volkswagen of America, Inc has a track record of offering H1B sponsorships. Please note that this does not
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Funding
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Late StageLeadership Team
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