Senior Drone Perception & Autonomy Engineer

Arxlight; Oakland (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Arxlight, a rapidly growing technology startup in Oakland, is seeking a Computer Vision & Autonomy Engineer to design and implement advanced perception and autonomy systems for next-generation drones. The role requires a Master’s or PhD in Robotics, Computer Science, or Aerospace Engineering, with expertise in object tracking, real-time software, and a strong mathematical foundation. You'll tackle challenges in high-dynamic sensing, ensuring robust solutions that save lives through innovative UAV capabilities.

Qualifications

• Master’s or PhD in Robotics, Computer Science, or Aerospace Engineering with a focus on Computer Vision or Autonomous Systems.
• Expert knowledge of object tracking (KCF, SORT, DeepSORT) and the geometry of moving camera platforms.
• Proficiency in C++20 and CUDA for high-throughput image processing, and Python for training ML models.
• Deep understanding of 3D geometry, Kalman Filtering (EKF/UKF), and the physics of relative motion.

Responsibilities

• Develop robust real-time Deep Learning and Classical CV algorithms for classification and tracking.
• Implement Visual-Inertial Odometry (VIO) and filtering techniques to estimate target 3D trajectories.
• Create GPS-denied navigation solutions that maintain autonomy when external signals are compromised.
• Design Vision-Based Pursuit laws and Proportional Navigation enhancements.
• Optimize algorithms for ultra-low latency execution on low-power devices.

Skills

Dynamic Vision skills

Real-Time Software

Mathematics

Education

Master’s or PhD in Robotics, Computer Science, or Aerospace Engineering

Tools

CUDA

C++20

Python

NVIDIA Isaac Sim

Unreal Engine 5

Gazebo

Job description

Arxlight, a rapidly growing technology startup in Oakland, is seeking a Computer Vision & Autonomy Engineer to design and implement advanced perception and autonomy systems for next-generation drones. The role requires a Master’s or PhD in Robotics, Computer Science, or Aerospace Engineering, with expertise in object tracking, real-time software, and a strong mathematical foundation. You'll tackle challenges in high-dynamic sensing, ensuring robust solutions that save lives through innovative UAV capabilities.