Autonomy Engineer, Real-Time Computer Vision for UAVs

Dormont Manufacturing Co

Seattle (WA)

On-site

USD 122,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical plan
401K plan
Maternity/Paternity leave
Flexible time off
Seattle office parking

Job summary

BRINC is seeking a Computer Vision Engineer to advance perception for UAVs and public safety products. You will design and optimize real-time vision algorithms for localization, mapping, and navigation, collaborating across software, autonomy, controls, and hardware teams.

You will work on VIO/VSLAM, depth/reconstruction, and sensor fusion with cameras, IMUs, LiDAR, and radar, while ensuring production-ready performance on embedded GPUs and accelerated hardware.

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Robotics, EE, or related field with 3+ years industry experience.
  • Strong programming in C++ and Python, with real-time systems experience.
  • Experience in robotics/UAV perception, VSLAM/VIO, and CV methods.
  • CV models/pipelines on embedded GPUs or accelerators.
  • Robotics/UAV testing, data collection, and field validation.

Responsibilities

  • Research, design, and implement vision-based localization and mapping (VIO/VSLAM).
  • Develop real-time CV pipelines for tracking, depth estimation, and reconstruction.
  • Architect sensor fusion with cameras, IMUs, LiDAR, and radar.
  • Build perception algorithms for navigation, obstacle detection, and flight behaviours.
  • Develop CV/ML models for scene understanding and object detection.
  • Optimize CV pipelines on embedded GPUs or accelerators for low latency.
  • Validate performance via simulation, hardware-in-the-loop, and flight tests.
  • Collaborate with autonomy, controls, hardware and firmware teams.
  • Contribute to strategy and best practices for perception stack.

Skills

C++
Python
VIO/VSLAM
Embedded systems
ROS
Real-time systems

Education

Bachelor's in CS/Robotics/EE

Tools

ROS
MAVSDK
PX4

Job description

BRINC is seeking a Computer Vision Engineer to advance perception for UAVs and public safety products. You will design and optimize real-time vision algorithms for localization, mapping, and navigation, collaborating across software, autonomy, controls, and hardware teams.

You will work on VIO/VSLAM, depth/reconstruction, and sensor fusion with cameras, IMUs, LiDAR, and radar, while ensuring production-ready performance on embedded GPUs and accelerated hardware.

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