This role pays more than
67%
of similar roles. Most pay
$156,875–$215,312
— the shaded band above.
At the midpoint, this role pays about
$193k
versus about
$186k
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
1697 open roles
on FindRole.
Listed pay typically runs
$146,000–$194,000
across 1504 roles with salary data.
Senior Signal Processing Engineer, Space joins the Space team to develop advanced discrimination algorithms for space and missile defense missions. The role involves designing signal processing pipelines including detection, feature extraction, image processing, and measurement generation from EO/IR sensor data. You will build decision logic to distinguish threats from decoys, debris, and clutter in real-time environments while developing physics-based models and conducting Monte Carlo analysis or hardware-in-the-loop testing. Key technical requirements include expertise in EO/IR sensor phenomenology, detection theory, SNR analysis, and signal processing techniques like filtering. You will also utilize computer vision, pattern recognition, and advanced decision logic to improve classification performance. The work focuses on solving the challenge of extracting signals from noise within contested and degraded sensing environments to enhance space domain awareness and command and control capabilities for military partners.
Lead the development of discrimination algorithms to distinguish threats from decoys and debris using EO/IR sensor data.
Design and implement signal processing pipelines including detection, feature extraction, and image processing.
Develop advanced decision logic to improve classification performance in evolving threat environments.
Analyze and optimize algorithms based on sensor phenomenology such as noise characteristics and resolution limits.
Build physics-based models and conduct Monte Carlo analysis or hardware-in-the-loop testing to validate performance.
Create tools to characterize algorithm performance under conditions like countermeasures and degraded sensing environments.
Partner with software engineers to transition prototype algorithms into production code for operational deployment.
Provide technical leadership and mentorship to engineers on signal processing best practices.
What we're looking for
Must possess and be able to maintain an active U.S. Secret security clearance.
Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field.
8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar modalities in aerospace or defense systems.
Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects.
Proficiency in signal processing techniques such as detection algorithms, filtering, and measurement generation from sensor data.
Proficiency in algorithm development and coding with experience transitioning algorithms to production environments.
Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments.
Demonstrated technical leadership experience with the ability to mentor engineers and drive technical direction.
Signal Processing
EO/IR Sensors
Computer Vision
Image Processing
Monte Carlo Analysis
Hardware-in-the-loop
Sensor Fusion
RF Signal Processing
GNC
MBSE
Cameo
Rhapsody
DOORS
Detection Theory
Signal Processing
EO/IR Sensors
Computer Vision
Image Processing
Algorithm Development
Monte Carlo Analysis
Hardware-in-the-loop
Sensor Fusion
RF Signal Processing
GNC
MBSE
Cameo
Rhapsody
DOORS
Radar Systems
Signal Processing
MATLAB
Python
C++
SAR
SIGINT
Space Systems Engineering
Embedded Systems
Link Budgets
Waveform Design
cFS
SpaceVPX
Hardware-in-the-loop
Distributed Architectures
Radar Systems
MATLAB
Python
C++
Signal Processing
SAR
GMTI
SIGINT
Space Systems Engineering
Embedded Systems
cFS
SpaceVPX
Link Budgets
Waveform Design
System-of-Systems Analysis
Orbital Mechanics
Kalman Filtering
Python
C++
MATLAB
Multi-target Tracking
Sensor Fusion
State Estimation
Data Association
Monte Carlo Analysis
Modeling and Simulation
Hardware-in-the-loop
Systems Engineering
Verification and Validation
MBSE
Cameo
Rhapsody
DOORS