The company

Azevtec (Autonomous, Zero-Emission Vehicle Technologies) is automating 'first-mile' trucking. We simplify how large enterprises ship goods—our robotic systems automate repetitive vehicle movement and manual tasks in the world’s busiest freight-shipping hubs to enhance operational performance, reduce costs, and improve safety.

Azevtec is a rapidly growing, Series-A company founded to drive the adoption of sustainable transportation and deploy autonomous vehicles responsibly.

The role

The 2020 Summer Intern - Hardware Engineering will report to the VP of Hardware Engineering and support the development of proprietary hardware products for an autonomous trucking systems targeted at a private-property application at large logistics hubs.

This position requires a very capable mechanical or systems engineering student with exceptional problem-solving and project management skills. The successful candidate will be responsible for a well-defined, three-month project and related tasks that further the development of autonomous vehicle features that redefine logistics automation. 

Duties and responsibilities

• • Design mechanical engineering robotic systems using SolidWorks
  • Develop assembly models, assembly drawings and drawings of robotic system parts
  • Develop bills of material ("BoMs") and work with Azevtec Purchasing to acquire the necessary components
  • Perform system and product integration tasks
  • Perform basic prototyping and fabrication of parts 

Required qualifications

• • Bachelor’s degree in mechanical engineering, computer engineering, and/or electrical/electronics engineering
  • C++ experience/coursework
  • Excellent written and verbal communication skills
  • Exceptional analytical skills
  • Demonstrated interpersonal skills and able to work effectively within a team
  • Sterling references

Ideal qualifications

• • Experience with ROS-based software development for robotic systems
  • Work in a Linux environment and targeting embedded deployment
  • Experience with robotics software engineering, autonomous vehicle systems, robotic perception, manipulation systems, computer vision, and/or planning and controls