E2E Autonomy Engineer for Self-Driving ML Infra

Applied Intuition; Sunnyvale (CA); On-site; USD 153,000 - 222,000; Full time

Benefits offered by this job

Equity options

Health insurance

401k retirement benefits

Paid time off

Job summary

Applied Intuition in Sunnyvale, California, is seeking a skilled engineer to contribute to next-generation AI Research. This role will focus on building tools and infrastructure that support autonomy research and self-driving vehicle development.

The ideal candidate will have strong software design skills and the capability to work across the entire end-to-end autonomy stack, closely collaborating with both research and engineering teams.

Compensation includes a salary range of $153,000 - $222,000 annually, along with equity and benefits.

Qualifications

• Ambition to contribute up and down the ML stack.
• Strong fundamental skills in software & module design.
• Ability to tackle chaotic situations with libraries & abstractions.

Responsibilities

• Build tools and infrastructure for E2E autonomy research.
• Work with AI research and engineering teams for self-driving software.
• Identify bottlenecks in GPU compute and data volume scaling.

Skills

Software generalist experience

Software & module design

Analytical and problem-solving skills

Tools

Python

PyTorch

CUDA

Bazel

Kubernetes

Spark

Flyte

Job description

Applied Intuition in Sunnyvale, California, is seeking a skilled engineer to contribute to next-generation AI Research. This role will focus on building tools and infrastructure that support autonomy research and self-driving vehicle development.

The ideal candidate will have strong software design skills and the capability to work across the entire end-to-end autonomy stack, closely collaborating with both research and engineering teams.

Compensation includes a salary range of $153,000 - $222,000 annually, along with equity and benefits.