
11 - 50 employees
🚀 Aerospace
🚗 Transport
🤖 Artificial Intelligence
💰 Seed Round on 2022-07
Aerospace • Transport • Artificial Intelligence
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
🕒 April 16
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11 - 50 employees
🚀 Aerospace
🚗 Transport
🤖 Artificial Intelligence
💰 Seed Round on 2022-07
Aerospace • Transport • Artificial Intelligence
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
• Develop and implement advanced behavior planning algorithms for autonomous vehicles • Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems • Design, write, and maintain efficient and scalable code in C++ and Python • Contribute to the architecture and continuous improvement of behavior planning software • Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms • Analyze system performance and implement enhancements based on data and feedback • Maintain comprehensive documentation of code, algorithms, and system designs • Work closely with other engineering teams to ensure seamless coordination and development
• Proficient in modern C++ (11/14/17) and object-oriented programming • Skilled in Python for rapid prototyping and testing • Strong in debugging, profiling, and optimizing code • Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning • Familiarity with path planning algorithms like A*, RRT, or optimization-based methods • Master’s degree in Computer Science, Robotics, or a related field • Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field
• Professional development opportunities • Flexible work arrangements
Apply Now🕒 April 16
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