ML Infrastructure Engineer – Autonomy & Self-Driving

Decisive Point Group; Sunnyvale (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Applied Intuition is pushing the frontier of autonomy and vehicle intelligence through next-generation AI Research. In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end (E2E) autonomy stack.

Join our research and production teams in creating the next generation of self-driving vehicles. Here at Applied, we encourage all engineers to take ownership over technical and product

Qualifications

• 3+ years of experience in any field or equivalent education/experience.
• Bachelor's, Master's or PhD in any field or equivalent combination.

Responsibilities

• Build tools and infrastructure to enable large-scale E2E autonomy research led by Dr. Wei Zhan.
• Work directly with both AI research and engineering teams to productionize next generation self-driving software.
• Help scale end-to-end training by identifying bottlenecks, especially as we continue to scale our GPU compute, onroad data volume, curation efforts, and eval systems

Skills

Python

Pytorch

CUDA

Bazel

Kubernetes

Spark

Flyte

Software architecture

Education

Bachelor's/Master's/PhD

Job description

Applied Intuition is pushing the frontier of autonomy and vehicle intelligence through next-generation AI Research. In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end (E2E) autonomy stack.

Join our research and production teams in creating the next generation of self-driving vehicles. Here at Applied, we encourage all engineers to take ownership over technical and product