Senior Staff Tech Lead - Perception

November 5, 2024

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Stack AV

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Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.

51 - 200 employees

🚗 Transport

🤖 Artificial Intelligence

📋 Description

• About Stack: • Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. • The Perception team is looking for a lead to build up a team developing and deploying perception components for next generation self driving systems. • This requires developing strong ownership over critical components to being able to understand, experiment, improve, and field state-of-the-art perception systems in real time, safety critical applications. • Responsibilities: • 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.

🎯 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, including conception, problem definition, experimentation, iteration, and finally publication or productization. • 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.