Company:

At Udelv we are creating a new type of driverless delivery vehicle. We are first-movers in the autonomous delivery sector and were first to complete a commercial last mile autonomous delivery on public streets. Udelv is using advanced transportation and autonomous driving technologies to revolutionize this segment of transportation. Udelv recently announced a historic partnership with Mobileye, an Intel company, to use Mobileye’s autonomous driver on Udelv’s next-generation vehicle, the Transporter. Udelv also announced the largest pre-order to date in the autonomous vehicle industry with a 1,000 Transporter pre-order from Donlen, one of America’s largest commercial fleet management company.

Udelv’s mission is to reinvent and become the dominant player of the fast growing trillion dollar global delivery market by reducing delivery costs up to 50%, lowering carbon emissions and making our roads safer and less congested.

Position Description:

As an Teleoperations Systems Engineer, you will be responsible for the development of software tools and integration of various systems on autonomous vehicle test vehicles. You will work cross-functionally with trajectory and planning algorithm engineers, perception engineers and cloud robotics developers. The role also includes system and module level tests in the field and rapid response to issues as they arise.  You will be working on new and innovative solutions and systems, some of which have never been done before, and your innovation and creative skills will be an essential part of your team's success.

Responsibilities:

  • Building/Integrating software: help build and maintain a continuous integration system with simulation and hardware in the loop.
  • Write unit tests and documentation.
  • Write efficient networking code between the teleoperation console and the car.
  • Devise strategies to mitigate latency and enhance security.
  • Write cloud based systems
  • Write front end code for the driver and remote operator (ADAS)
  • All other duties as assigned

Education:

  • MS in CS/CE/EE/ME/Robotics or equivalent with focus on Autonomous Vehicles or Vehicle Systems Engineering

Qualifications:

  • Experience with middleware
  • Extensive software development experience (C/C++, Python)
  • Experience with Linux (networking, performance monitoring)
  • Experience with web for mobile app backend integration (node.js).
  • Experience with Cloud development (microservices, containers)
  • Extensive experience with programming and software integration

Preferred:

  • Broadband modems and wireless telecommunications experience.
  • Experience with sensors (e.g. IMU, lidar, camera, odometry, radar).
  • Experience with OpenCV.
  • Experience working with automotive systems

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