This role pays less than
68%
of similar roles. Most pay
$126,800–$221,000
— the shaded band above.
At the midpoint, this role pays about
$146k
versus about
$174k
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
1778 open roles
on FindRole.
Listed pay typically runs
$146,000–$194,000
across 1568 roles with salary data.
As a Research Scientist at Anduril Industries, you will join small innovative teams to develop state-of-the-art algorithms and software that solve complex scientific problems for mission-critical systems. You will be responsible for creating mathematically principled solutions to information science problems, prototyping algorithms in an agile environment, and implementing high-performance software ranging from tactical systems to web applications. Your daily work involves using high-fidelity modeling and simulation environments, analysis tools, and flexible compute clusters to quantify technology benefits while engaging with customers to ensure successful outcomes. The role requires expertise in applied mathematics, engineering, scientific computing, and probability, specifically involving differential equations, linear algebra, estimation theory, digital signal processing, and machine learning. You will apply these skills to develop advanced autonomy, computer vision, sensor fusion, and networking technologies for defense applications within a high-stakes technical environment.
What does a Research Scientist earn?
Median $218100 from 40 postings across 12 companies.
Create mathematically principled solutions for complex information science problems.
Prototype state-of-the-art algorithms within an agile development environment.
Implement high-performance software ranging from tactical systems to web applications.
Use modeling, simulation environments, and compute clusters to quantify technology benefits.
Engage with customers to ensure successful outcomes for mission-critical needs.
Communicate complex technical details clearly to both expert and non-expert audiences.
What we're looking for
Must possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
Demonstrated experience in applied mathematics including differential equations, linear algebra, numerical analysis, and optimization.
Demonstrated experience in engineering fields such as controls, estimation theory, digital signal processing, and machine learning.
Experience in scientific computing involving software design, algorithm implementation, and software analysis, testing, and optimization.
Experience in probability including statistics and random processes.
Effective written and verbal communication skills to convey advanced technology details to both experts and non-experts.
Must possess an active U.S. Top Secret security clearance.
Machine Learning
Signal Processing
Numerical Analysis
Linear Algebra
Optimization
Differential Equations
Scientific Computing
Agile Development
Modeling and Simulation
Machine Learning
Signal Processing
Estimation Theory
Numerical Analysis
Optimization
Differential Equations
Linear Algebra
Agile
Modeling and Simulation
C++
Python
Julia
Rust
CUDA
Firmware
Digital Signal Processing
Image Processing
Estimation Theory
Modeling and Simulation
Algorithm Development
Scientific Computing
Linear Algebra
Probability Theory
Optimization Theory