Berkeley, CA | Full-Time

About Zendar:

At Zendar, we are working on a high-resolution imaging radar system that allows self driving cars to see through fog, rain and snow. We are a team of electrical engineers, mechanical engineers and researchers developing the next generation of radar technology.

Job Description:

We are hiring a software engineer with experience in computer vision and machine learning.

We are creating a radar that has resolution similar to lidar. We want to change the role of radar in the autonomous driving sensor stack and demonstrate that radars can take on many of the functions of lidar at a much lower cost and in all weather conditions.

In this role, you will be responsible for extracting semantic information relevant for driving from our radar images, such as cars, pedestrians, curbs and drivable areas.

Required Qualifications:

Proficient in Python and modern C++ (we use C++14)

Background in computer vision and machine learning

Experience working with a machine learning framework such as TensorFlow or Torch

MS/PhD in Computer Engineering/Science, EE or related fields

Desired Qualifications:

Experience in object detection and semantic segmentation in camera or lidar

Experience in neural network optimization (speed vs performance)

Working experience with computer vision

What We Have to Offer:

Daily catered lunch and a stocked fridge

Convenient location in Berkeley, CA

Competitive salary, benefits and equity

Please send your resume to [email protected]

Zendar is an equal opportunity employer. Zendar participates in E-Verify.