This role pays more than
53%
of similar roles. Most pay
$146,450–$195,625
— the shaded band above.
At the midpoint, this role pays about
$170k
versus about
$171k
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.
Signal Processing Engineer, Space
The Signal Processing Engineer joins the Space team to develop critical discrimination algorithms for space and missile defense missions. You will be responsible for building signal processing pipelines that include detection, feature extraction, image processing, and measurement generation from EO/IR sensor data. The core of your work involves designing advanced decision logic to distinguish threats from decoys, debris, and clutter in real-time operational environments. To succeed, you must possess expertise in detection theory, SNR analysis, and algorithm development for EO/IR sensors. You will also build physics-based models, conduct Monte Carlo simulations, and perform hardware-in-the-loop testing to validate performance. This role addresses the technical challenge of extracting signals from noise within contested and degraded sensing environments to ensure space domain awareness and command and control capabilities.
Develop discrimination algorithms for EO/IR sensors to distinguish threats from decoys and debris in real-time.
Design and implement signal processing pipelines including detection, feature extraction, and image processing.
Create advanced decision logic to improve classification performance in evolving threat environments.
Optimize algorithms based on sensor phenomenology such as noise characteristics, SNR, and environmental effects.
Build physics-based models and conduct Monte Carlo simulations or hardware-in-the-loop testing to validate performance.
Develop analysis tools to evaluate algorithm performance under conditions like countermeasures and degraded sensing.
Transition discrimination algorithms from initial prototypes into production code for operational deployment.
Present technical solutions and demonstrate system performance to customers and stakeholders.
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.
5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems.
Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects.
Experience with signal processing techniques including 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.
Ability to collaborate with software engineers, systems engineers, and test teams to integrate algorithms into operational systems.
Signal Processing
EO/IR Sensors
Computer Vision
Image Processing
Sensor Fusion
Monte Carlo Analysis
Hardware-in-the-Loop
RF Signal Processing
GNC
MBSE
Cameo
Rhapsody
DOORS
Detection Theory
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
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
Digital Signal Processing
Python
MATLAB
MBSE
SysML
MagicDraw
Cameo
Agile
DevOps
CI/CD
Hardware in-the-loop
Space Systems
SmallSats
CubeSats
Radar Processing
Monte Carlo Analysis
Phased Array
Beam Forming