Senior Software Engineer, Perception, Machine Learning/Computer Vision

Responsibilities

• Apply expertise in machine learning to solve challenges in the autonomy stack, including detection with sensor fusion, tracking, fine-grained classification, and human intent understanding.
• Be involved in all stages of problem solving: initial proof of concept, model iteration, onboard deployment, and on-road performance monitoring and troubleshooting.
• Develop techniques and/or processes to train models that utilize massive scale of data while keeping onboard latency in check for deployability.
• Take ownership of novel problems and go deep on them.

Requirements

• Recent experience applying state-of-the-art deep learning techniques to autonomous driving problems, such as modern object detection models, sensor fusion, and multi-task learning.
• Strong ML fundamentals with demonstrated experience building and expanding model architectures.
• Strong software engineering fundamentals with demonstrated experience in both high and low-level languages (Python and C++).

Nice-to-Haves

• Experience deploying models in real-time environments.
• Experience optimizing architectures to explore the accuracy vs. compute tradeoff.
• Experience productizing ML models and the supporting infrastructure (data, large-scale training, evaluation, etc.).

Compensation

• Base pay range: $183825 - $275975 per year (depends on experience, qualifications, education, location, and skills).
• Eligible for annual performance bonus, equity, and competitive benefits package.