Software Engineer - Synthetic Data & Annotations

About the role

We are looking for a software engineer with expertise in computational geometry, simulation, and machine learning. As a software engineer focused on synthetic data and annotations, you’ll build systems to generate labeled data that is suitable for training a variety of machine learning systems. This position will join an existing team of engineers with expertise in computer vision, sensor modeling, rendering, and data infrastructure.

At Applied Intuition, you will:

• Design and implement core components of our sensor simulation and data generation pipeline
• Develop systems for programmatically generating ground-truth-labeled data from a simulated world
• Work with machine learning pipelines to understand and improve synthetic datasets
• Work with top autonomy companies to understand and solve unique challenges in perception with synthetic data

We're looking for someone who has:

• Strong software engineering skills in Python and C++
• Familiarity with Unreal Engine
• Competent skills & experience in computational geometry, linear algebra, optics, electro-optics, and physics
• Familiarity with synthetic data and its applications in perception systems

Nice to have:

• Experience with applying synthetic data to machine learning tasks
• Detailed knowledge of game pipelines and Unreal Engine
• Hands-on experience with characterization of models for Lidar, Radar, and Camera

The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.