Planning Intern
Confirmed live in the last 24 hours
AeroVect

11-50 employees

Autonomous driving systems provider for ground support equipment.
Company Overview
AeroVect stands out as a leader in the aviation industry for its deployment of autonomous driving systems for Ground Support Equipment (GSE), a technology trusted by globally recognized airlines and ground handlers. The company's competitive edge lies in its technical prowess in automation, enhancing operational efficiency and safety in airport environments. The work culture at AeroVect fosters collaboration and continuous learning, making it an ideal place for professionals seeking to contribute to and grow in a technologically advanced, industry-leading organization.
Robotics & Automation

Company Stage

Seed

Total Funding

$9.1M

Founded

2020

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

11%

1 year growth

58%

2 year growth

216%
Locations
San Francisco, CA, USA
Experience Level
Intern
Desired Skills
Python
Linux/Unix
CategoriesNew
Software Engineering
Requirements
  • Prior background in the development of planning modules for autonomous systems
  • Strong theoretical knowledge of routing, behavior planning, and trajectory generation
  • Bachelor’s Degree or Master’s Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field
  • Strong C++ or Python programming and algorithmic problem-solving skills
  • Experience in a Linux based Operating System
  • Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.
  • Strong reasoning skills and mathematics background including linear algebra, geometry, calculus, optimization, and probability
  • Solid engineering background with hands-on design and development experience
  • Experience with field testing autonomous systems
  • Highly collaborative nature and exceptional communicator
Responsibilities
  • Define, implement, and own hands-on improvements to upgrade the core planner module
  • Work with a team of engineers to bring up all components necessary for reliable autonomous driving in the airside environment
  • Design, implement, test, and support all aspects of ground vehicle autonomy
  • Qualify all subsystems using objective measures, with an eye to functional safety and systems engineering best practices
  • Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration
Desired Qualifications
  • MS or Ph.D. in Computer Science, Math, Robotics, or a related field
  • In-Depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware
  • Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products
  • Mastery of Modern C++ (14 and beyond) and safety-critical coding practices
  • Prior experiences at an autonomous driving company or an engineering startup