Perception Algorithm Engineer

What you'll do

• Design and implement robust, real-time multi-object tracking systems for computer vision problems.
• Leverage multimodal estimates from vision and audio to ensure high-fidelity estimation in complex environments.
• Develop rigorous evaluation frameworks and curate datasets to benchmark model performance.
• Define metrics to analyze edge cases and continuously improve perception pipelines.
• Integrate perception systems into a larger software stack under real-world performance constraints.
• Write performant, production-quality code using C++, Swift, and modern ML frameworks.
• Break down complex problems into testable solutions that prioritize challenging edge cases.

What we're looking for

• PhD in Computer Science, Robotics, or a related field with 3 years industry experience.
• MS in Computer Science, Robotics, or a related field with 2+ years industry experience.
• Proficiency in systems programming (C++/Swift) and writing performant, production-quality code.
• Fluency in Python and modern ML frameworks like PyTorch or JAX.
• Solid foundation in machine learning and traditional perception and state-estimation pipelines.
• Experience designing scalable evaluation pipelines for learning based and classical perception pipelines (preferred).
• Experience building and/or deploying on-device computer vision models or multi-object tracking systems (preferred).
• Knowledge of robotics software stack, state estimation methods, or strong applied math background (preferred).