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

We’re searching for a talented, autonomous vehicle software engineer who has designed, developed, and implemented navigation and localization software for safety-critical ground robotics applications (ideally from concept through volume commercial production).

The Autonomous Vehicle Navigation and Localization Engineer will report to the Vice President of Software Engineering.

Duties and responsibilities

• • Design and architect the navigation/localization system for ground vehicles: elicit requirements, conduct trade studies and make-versus-buy decisions, and work with subcomponent vendors and vehicle OEMs to understand capabilities of off-the-shelf components and how to utilize them in the Azevtec system
  • Own implementation and qualification of the navigation/localization subsystem through the complete development lifecycle: requirements, design, code development, unit testing, and release/support
  • Understand the current state of the art and identify opportunities for increasing performance and reducing hardware costs

Required qualifications

• • Proficiency with C and C++
  • Masters or PhD (or Bachelors degree with commensurate experience in a related field)
  • Prior experience developing navigation/localization solutions using IMU, vehicle odometry, and GPS sensing
  • Background developing a production system or an advanced research prototype
  • Excellent written and verbal communication skills
  • Exceptional analytical skills
  • Demonstrated strong leadership and people skills
  • Sterling references

Ideal qualifications

• • Ability to read/write/debug Python
  • Familiarity with, or experience implementing SLAM in ground vehicles
  • Comfort using point clouds and LIDAR data
  • Expertise in GPS signal processing