Senior Data Engineer, AV Infra - Autonomous Driving

NVIDIA is powering the AI revolution. One of the most exciting applications of our AI capabilities is in Autonomous Driving. We are building a powerful exa-scale software 2.0 cloud platform that enables and accelerates the development of software for the driverless fleet at scale. The pipeline for AV is uniquely complex, setting the highest standard for our AI infrastructure to serve as a versatile platform for the collection and curation of data, generation of datasets, training DNN models, evaluation in simulation and in the vehicle. We are looking for a hardworking and highly motivated Senior Data Engineer to join our fast-paced customer facing organization.

In this role, you will closely collaborate with fleet, data center, pipeline, workflows, analytics, machine learning and product management teams to extend the functionality of NVIDIAs AV infrastructure as a data-driven Deep Learning platform. An optimal candidate should be curious, and a dedicated teammate who has a collaboration ethic while working with a global multi-disciplinary team.

What you'll be doing:

• Directly engaging with automotive partners as first point of contact; driving data related activities across collection and infrastructure domains; taking on data requirements, quality evaluation, processing tools, metrics and analytics

• Actively collaborating with AV stack developers to understand their data needs and establish tight feedback loops, track data as it runs through a complex ingestion and processing pipelines

• Serving as the interface between operations and engineering teams to identify and resolve issues, analyze operational metrics and resolve bottlenecks in data delivery processes

• Facilitating customer data collection activities by addressing complex technical problems and proposing creative solutions that help further improve and integrate our autonomous driving technologies

• Taking part in workshops and conducting regular customer meetings

What we need to see:

• Experience collaborating with data producers and consumers, defining needs, establishing pipelines

• Expertise in cloud based data management services, tools (queries, analytics, visualizations, dashboards)

• Understanding of DataOps and/or DevOps delivery system approaches and platforms

• Strong interpersonal, written and oral communications skills leading to effective collaboration

• Solid analytical, problem-solving skills, ability to work with a minimum of supervision and learn quick

• Extensive experience working with data pipelines and Data-as-a-Service architectures

• BSc+ degree or equivalent experience from a leading university in an engineering or computer science related field

• 5+ years of relevant work experience

Ways to stand out from the crowd:

• Prior experience deploying MLOPS or AI/ML solutions at a Tier 1 or OEM, on-premise or in the cloud

• Knowledge of data science methods, analysis and programming languages including Python and/or C/C++

• Working experience within embedded systems software domain, in-vehicle software development & tools

• Strong systems engineering, coding, and debugging skills including experience with C/C++, Linux, Bash

• Deep understanding of cloud development/build/deployment systems (e.g. Bazel, Docker, Kubernetes)

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.