Senior Software Engineer, Perception Architecture

Job description

Job responsibilities

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization.
• Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios.
• Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection.
• Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration.
• Lead challenging technical topics and build consensus across sister teams (e.g., Actor Detection, Scene Understanding, Tracking) and stakeholders to ensure autonomy-wide alignment.

Job requirements

• BS (with 4+ years of experience), MS (with 2+ years of experience), or PhD (with 1+ years of experience) in a perception-related field, such as Robotics, Computer Vision, or Machine Learning.
• Extensive experience architecting, training, and evaluating deep learning models for challenging problem spaces.
• Track record of driving applied research or engineering projects from conception and experimentation to successful productization.
• Strong experience in software engineering, machine learning algorithm design, and building data/metrics pipelines for ML development.
• Fluency in Python and hands-on experience with C++.
• Experience delivering detection, segmentation, tracking, or other perception solutions for real-time robotic applications, with prior experience in sensor fusion being highly desirable.