Autonomy Perception Engineer – ML & CV for Self-Driving

Applied Intuition; Sunnyvale (CA); On-site; USD 125,000 - 222,000; Full time

Job summary

Applied Intuition in Sunnyvale, California, is seeking a software engineer with expertise in perception for autonomous vehicles. You will build out perception capabilities of the autonomy stack, including 4D world representations, and advance computer vision and ML techniques to enable self-driving cars to navigate.

You will collaborate with data, behavior, and research teams to develop the most advanced autonomy software for production deployment, and you will be part of a fast-paced

Qualifications

• 3+ years of experience building software components addressing real-world perception challenges.
• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field.
• Strong proficiency in C++ and Python.
• Experience building machine learning models from data collection to production and deployment.
• Deep understanding of the concepts and methods behind frameworks or libraries they've worked with.
• Interest in keeping up to date in their field, identifying trends and figuring out which new ideas are promising and which are risky.

Responsibilities

• Train, modify, and create beyond-SOTA algorithms for constructing powerful world representations used for perception, world modeling, and ML-driven autonomy.
• Test and evaluate your algorithms on real vehicles, owning large portions of the autonomy stack and ensuring real improvements to driving abilities.
• Work closely with data, behavior, and research teams to develop the most advanced autonomy software for production deployment.

Skills

C++

Python

Perception ML

Education

Bachelor's in Computer Science/EE/Robotics

MSc or PhD in perception

Tools

Machine Learning frameworks

Job description

Applied Intuition in Sunnyvale, California, is seeking a software engineer with expertise in perception for autonomous vehicles. You will build out perception capabilities of the autonomy stack, including 4D world representations, and advance computer vision and ML techniques to enable self-driving cars to navigate.

You will collaborate with data, behavior, and research teams to develop the most advanced autonomy software for production deployment, and you will be part of a fast-paced