ML Perception Software Engineer

The role

You will build perception modules and 4D world representations for autonomous vehicle stacks. You will design and develop computer vision and machine learning techniques to enable self-driving vehicles to navigate.

What you will do

• Train, modify, and create beyond-SOTA algorithms for constructing world representations
• Test and evaluate algorithms on real vehicles
• Own large portions of the autonomy stack
• Work with data, behavior, and research teams to develop autonomy software for production

Required qualifications

• 3+ years of experience building software components or (sub) systems that address 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 any frameworks or libraries worked with
• Interest in keeping up to date in their field

Nice to have

• MSc or PhD in perception or closely related field
• Experience working in modern ML-based perception for autonomous systems
• Deep knowledge of the current trends in computer vision including perception, reconstruction, diffusion, world models and pre training vision models

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.