Staff Software Engineer

Summary

Join Stack's Dynamic World Perception team and lead the development of state-of-the-art long-range detection capabilities for autonomous trucking systems. You will contribute to the expansion and fusion of existing detection models, improve model frameworks and data pipelines, and develop robust software for onboard vehicle deployment. This role requires extensive experience in deep learning model architecture, training, and deployment in real-world environments. You will drive cross-functional features, contribute to the team's technical direction, and align stakeholders through strong communication. The ideal candidate possesses strong software engineering and machine learning skills, particularly in C++ and Python.

Requirements

• Extensive experience architecting, training, and deploying deep learning models into real-world environments
• Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
• Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications
• Strong experience in software engineering and machine learning algorithm design
• Strength in C++ and experience with Python

Responsibilities

• Work in the team to deliver state-of-the-art long-range detection capabilities
• Contribute to expansion and fusion of existing detection models to support long-range performance
• Contribute to improvement of model frameworks, architecture, and data pipelines
• Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments
• Drive highly cross-functional features and work streams from problem statement to delivery
• Contribute to the technical direction of the team and broader perception org
• Align stakeholders with strong presentation and communication skills
• Lead challenging technical topics and build consensus

Preferred Qualifications

Prior experience in sensor fusion is highly desirable