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.
December 14, 2024
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.
• About Stack: • Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. • About the Role: • The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. • Responsibilities: • Work in the team to deliver state-of-the-art online and offline mapping algorithms and systems for L4 self-driving vehicles. • Contribute to the technical direction of the team and broader perception org. • Write robust software for real-time, resource-constrained, safety-critical applications. • Drive highly cross-functional features and work streams from problem statement to delivery. • Proactively identify limitations with the existing online mapping system and drive improvements. • Align stakeholders with strong presentation and communication skills. • Lead challenging technical topics and build consensus.
• 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/mapping solutions for real-time robotic applications. Prior experience in sensor fusion and/or online mapping is highly desirable. • Strong experience in software engineering and machine learning algorithm design. • Fluency in Python. • Experience with C++.
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