below marketmost similar roles pay hereabove market
This role pays less than
76%
of similar roles. Most pay
$168,787–$231,037
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Anduril Industries
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has
915 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 871 roles with salary data.
The Computer Vision Software Engineer joins the Anduril Warfighter Systems division to develop a software-defined weapon optic. This role involves building real-time vision algorithms for precision aiming and targeting, specifically for counter-UAS applications. You will design and optimize target detection, classification, and tracking models for resource-constrained embedded platforms like Qualcomm-based systems. Key responsibilities include building camera and sensor calibration pipelines for thermal and electro-optical sensors, as well as developing pose estimation and localization algorithms using bundle adjustment and multi-view geometry. You will utilize C++, Python, OpenCV, and TensorRT to manage trade-offs between accuracy, latency, and power consumption. The work addresses the technical challenge of delivering high-performance computer vision and sensor fusion in ultra-constrained compute environments to increase first-round accuracy for the warfighter.
Design and develop real-time target detection, classification, and tracking models for low-compute embedded environments.
Build and refine offline and online camera and sensor calibration pipelines for multi-sensor weapon sight assemblies.
Develop pose estimation and localization algorithms using bundle adjustment, feature matching, and multi-view geometry.
Profile and optimize vision models to manage trade-offs between accuracy, latency, and power consumption on constrained hardware.
Create testing and evaluation frameworks to analyze field data and establish performance metrics for algorithms under operational conditions.
Integrate vision software into production hardware by collaborating with firmware, mechanical engineering, and manufacturing teams.
What we're looking for
BS in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field.
MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field (preferred).
Proficiency in C++ and Python.
Strong understanding of fundamental computer vision concepts including camera projection models, image distortion, rigid transformations, and multi-view geometry.
Prior experience with geometric computer vision such as SLAM, camera calibration, stereo vision, or photogrammetry in academic or professional work.
Experience developing or deploying algorithms in resource-constrained or embedded environments.
Eligible to obtain security clearance.
Experience with industrial computer vision, counter-UAS, or precision targeting systems (preferred).
C
C++
Python
STL
Machine Learning
Computer Vision
Image Processing
embedded system s
Kernel
Device Drivers
Board-Support Packages
SDK Development
Software Design
GitHub
Machine Learning
Computer Vision
Deep Learning
Python
C++
PyTorch
JAX
TensorFlow
TensorRT
ONNX
Linux
Object Detection
SLAM
LIDAR Sensor Fusion
Model Pruning
System Profiling