Principal Engineer, Perception ML Foundation

Perception for autonomous vehicles (AV) is one of the most exciting and challenging areas to work on today. Machine learning plays a crucial role in this field, but to excel in machine learning for Perception AV, we need to master the fundamentals. Join the Perception ML Foundation team, where we combine expertise in machine learning, high-performance computing (HPC), and cloud computing to build an efficient and scalable perception ML factory. This factory streamlines the generation of perception ML models, making the process efficient, scalable, reproducible and user-friendly. It encompasses major ML workflows, including data preparation, deep neural network (DNN) training, production optimization, and large-scale cloud inference and evaluation.

We believe that creating this high-throughput factory requires diverse, interdisciplinary thinking and expertise. This includes understanding modern Perception architectures, efficient ML techniques, large-scale software system design, HPC, accelerated-cloud compute hardware (GPUs), MLOps, and micro-services. We refer to all these abilities as ML foundation engineering.

As a Principal Engineer, Perception ML Foundation, you will:

• Serve as a technical leader on our most demanding, cross-functional projects.
• Enhance our DNN training code to improve training speed, scalability, and resource efficiency.
• Design training code that supports simultaneous use by multiple engineers and tasks.
• Design and implement a horizontally scalable, high-throughput cloud workloads such as inference and data-preparation pipeline for evaluation and KPI calculation.
• Streamline workflows to create verified, deployable artifacts from annotated data.
• Develop tools for introspection and visualization to identify areas for improvement.
• Collaborate closely with platform and perception DNN engineers, combining knowledge of large-scale ML systems with deep understanding of perception DNNs.
• Provide architectural guidance and detailed technical direction while nurturing a continuous delivery culture.
• Mentor and guide the career development of other engineers, fostering a collaborative and innovative environment.

Join NVIDIA and be part of a team working on cutting-edge technology in the field of autonomous vehicles and machine learning.