Computer Vision Engineer

  • 10885 NE 4th St, Bellevue, WA 98004, USA
  • Full-time

Company Description

Founded in 2018, Lumotive is a leader in solid-state, 3D-sensing systems, developing high-performance solutions for consumer electronics, industrial automation, robotics and automotive applications. The Seattle-based company’s LiDAR solutions leverage revolutionary beam-steering technology based on patented Liquid Crystal Metasurfaces™ to deliver an unprecedented combination of high performance and readiness for mass adoption. Lumotive’s random access beam-steering chips enable the industry’s first software-defined lidar with region-of-interest scanning for object tracking and advanced perception capabilities. Lumotive’s investors include Bill Gates and Quan Funds. For more information, go to or to Twitter @LumotiveLidar.

Job Description

Lumotive is seeking a computer vision engineer who will lead efforts to use our revolutionary lidar hardware to create world class 3D point cloud data and to harness the capabilities of software-defined beam steering. In this role, you will:

  • Architect, develop, and implement algorithms to process raw lidar data into high-resolution, artifact-free point clouds
  • Leverage the Lumotive software-defined beam steering technology to develop algorithms for optimal scanning patterns for closed-loop object tracking and advanced perception capabilities
  • Interface with optical systems team to understand how optical and hardware design impact 3D imaging performance
  • Develop a computer vision platform that fuses multiple sensor inputs such as lidar and cameras
  • Participate in all phases of development: architecture, implementation, testing, build and release


  • Masters or PhD Computer Science, Computer Engineering, or related field is preferred
  • Experience with computer vision algorithms, especially in the context of 3D data
  • Experience with 2D and 3D image processing and filtering
  • Experience with indirect and direct time of flight 3D sensors
  • Understanding of statistical and system sources of error in 3D imaging systems
  • Experience with algorithm development such as object segmentation, classification is preferred but not required
  • Experience working in both prototyping and formal product development environments
  • Experience programming in C, C++, Cuda and Python

Additional Information

All your information will be kept confidential according to EEO guidelines.