ML Infra Engineer for Autonomy & Research

Decisive Point; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Applied Intuition in Sunnyvale, CA is advancing autonomy and AI research. In this role you will build ML tooling, manage large datasets, and address challenges across the end-to-end autonomy stack, collaborating with AI research and engineering teams to productionize self-driving software.

We value ownership, thoughtful design, and close interaction with internal and external users to collect feedback and drive impact.

Qualifications

• Broad software development experience across ML stack and cloud.
• Strong design skills to build modular libraries and abstractions.
• 3+ years of experience in ML or software research.

Responsibilities

• Build ML tooling and infrastructure for end-to-end autonomy research.
• Collaborate with AI research and engineering teams to productionize software.
• Scale training by addressing bottlenecks in GPU compute and data pipelines.

Skills

Software generalist

Analytical thinking

Problem-solving

Rapid learning

Education

Bachelor's/Master's/PhD in any field

Equivalent work experience

Tools

Python

PyTorch

CUDA

Bazel

Kubernetes

Spark

Flyte

Job description

Applied Intuition in Sunnyvale, CA is advancing autonomy and AI research. In this role you will build ML tooling, manage large datasets, and address challenges across the end-to-end autonomy stack, collaborating with AI research and engineering teams to productionize self-driving software.

We value ownership, thoughtful design, and close interaction with internal and external users to collect feedback and drive impact.