below marketmost similar roles pay hereabove market
This role pays more than
56%
of similar roles. Most pay
$148,124–$225,750
— the blue band above.
At the midpoint, this role pays about
$192k
versus about
$187k
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
901 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 858 roles with salary data.
Research Scientist
The Research Scientist joins a small, innovative team to develop state-of-the-art algorithms and software for mission-critical systems. You will create mathematically principled solutions to complex information science problems, prototype algorithms in an agile environment, and implement high-performance software ranging from tactical systems to web applications. Key responsibilities include using high-fidelity modeling, simulation environments, and flexible compute clusters to quantify technology benefits while engaging with customers to ensure successful outcomes. Required expertise includes applied mathematics, including differential equations and linear algebra; engineering concepts like controls, estimation theory, and digital signal processing; and scientific computing skills such as software design and algorithm implementation. This role addresses technical challenges in defense technology, specifically focusing on autonomy, AI, computer vision, sensor fusion, and networking for military applications.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Create mathematically principled solutions to complex information science problems.
Prototype state-of-the-art algorithms within an agile development environment.
Implement high-performance software for tactical systems and web applications.
Use high-fidelity modeling and simulation environments to quantify technology benefits.
Utilize innovative analysis tools and flexible compute clusters for research.
Engage with customers to ensure successful outcomes for mission-critical needs.
Explain complex technical concepts 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.
Must have a record of academic excellence in applied mathematics, engineering, scientific computing, and probability.
Must have experience in differential equations, linear algebra, numerical analysis, and continuous or discrete optimization.
Must have experience in controls, estimation theory, digital signal processing, and machine learning.
Must have experience in software design, algorithm implementation, and software analysis, testing, and optimization.
Must have effective written and verbal communication skills to convey advanced technology details to experts and non-experts.
Must be eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Software Design
Modeling and Simulation
Compute Clusters
Statistics
Probability
C/C++
Python
Julia
Rust
CUDA
GPU Programming
Digital Signal Processing
Image Processing
Embedded Software
Firmware Engineering
Scientific Computing
Estimation Theory
Optimization Theory
Linear Algebra
Numerical Analysis
Probability Theory
Stochastic Models
Graphical Models
Rapid Prototyping
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Software Design
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Algorithm Implementation
Software Design
Agile
Statistics
Probability
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Software Design
Statistics
Probability