below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$176,000–$241,750.
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
901 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 858 roles with salary data.
The Systems Engineer - Machine Learning joins the Space Ground Systems Engineering team to solve mathematical, physical, and algorithmic problems for next-generation missile defense and fire control systems. This role involves bridging systems engineering and applied physics to design track-fusion pipelines, build threat-assignment algorithms, and conduct deep sensitivity analyses. You will research and deploy complex models including generative AI, reinforcement learning, and physics-based neural models. Key responsibilities include formulating object detection, tracking, and discrimination algorithms while performing parametric evaluations to validate performance. The position requires proficiency in Python, C++, Pytorch, TensorFlow, and MATLAB. You will work on sensor fusion, weapon-target assignment, and fire control scheduling, translating mathematical equations into functional code to solve dynamic battle-management challenges and integrate algorithms into operational defense systems.
What does a Systems Engineer earn?
Median $160000 from 251 postings across 41 companies.
Research, develop, and deploy complex machine learning models including generative AI and reinforcement learning.
Formulate and solve complex physics problems for object detection, tracking, and weapon-target assignment.
Design track-fusion pipelines to ingest raw sensor data and perform threat classification.
Conduct rigorous trade studies and sensitivity analyses to validate system performance and boundaries.
Translate mathematical equations into functional Python or C++ code for modeling and algorithm verification.
Bridge low-level physics and threat intelligence inputs with high-level mission outputs.
What we're looking for
Must possess and be able to maintain an active U.S. Secret security clearance.
Must have 5+ years of relevant engineering experience.
Must have a Bachelor’s, Master’s, or Ph.D. in Aerospace Engineering, Applied Mathematics, Physics, Electrical Engineering, Machine Learning, AI, or a related quantitative field.
Must have strong mastery of applied mathematics, physics, and programming.
Must be proficient in Python and/or C++, Pytorch (or TensorFlow), coding GPUs, multi-agent reinforcement learning, and mathematical modeling.
Must have exposure to missile defense concepts, radar/sensor processing, flight dynamics, or fire control systems.
Military or defense operations experience is a strong plus (preferred).
Top Secret / SCI eligibility is preferred (preferred).
Machine Learning
Computer Vision
Deep Learning
Python
C++
PyTorch
JAX
TensorFlow
TensorRT
ONNX
Linux
Object Detection
SLAM
LIDAR Sensor Fusion
Model Pruning
System Profiling