Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

In Short

Identify and develop next generation perception architectures.
Produce a coherent data representation of the environment based on data fusion between map alignment, tracking, drivable area, etc.
Work cross-functionally across perception, mapping, and decision making to ensure autonomy-wide alignment.
Partner with other teams across the company to identify key requirements, dependencies, and prioritize the key use cases that support business outcomes.
Lead across data collection ops, ML infrastructure, cloud infra, onboard infra, and other partners to ensure e2e delivery of solutions.

Requirements

PhD (or 5+ years of experience) in perception related fields, such as Robotics, Computer Vision, Machine Learning.
Extensive experience architecting, training, and deploying deep learning models into real-world environments.
Track record of driving applied research projects from start to completion.
Experience delivering perception/tracking solutions for real-time robotic applications.
Excellent performance-oriented C++ engineering skills.
Experience with automated driving.
Experience working with a GPU (cuda).
Experience in Deep Learning pipelines.