below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$159,375–$241,500
— the blue band above.
At the midpoint, this role pays about
$194k
versus about
$200k
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
906 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 864 roles with salary data.
Research Scientist, Battlespace Awareness joins a small, innovative team to develop state-of-the-art algorithms and software for mission-critical systems. The role involves creating mathematically principled solutions to complex information science problems, prototyping algorithms in agile environments, and implementing high-performance software ranging from tactical systems to web applications. Key responsibilities include using high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify technology benefits while engaging with customers to ensure successful outcomes. Required expertise includes applied mathematics, engineering, scientific computing, and probability, specifically involving differential equations, linear algebra, numerical analysis, controls, estimation theory, digital signal processing, machine learning, and software optimization. This work addresses the technical challenge of transforming thousands of data streams into a realtime, 3D command and control center.
What does a Research Scientist earn?
Median $216250 from 52 postings across 15 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.
Engage with customers to ensure successful outcomes for mission-critical needs.
Explain complex technical concepts and workflows to colleagues and customers.
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
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
Modeling and Simulation
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Software Design
Modeling and Simulation
C/C++
Python
Matlab
Machine Learning
NoSQL
Big Data
Digital Signal Processing
Agile
Algorithm Implementation
Optimization
Statistics
Linear Algebra
Differential Equations
Controls
Estimation Theory
C/C++
Python
Matlab
Machine Learning
NoSQL
Big Data
Digital Signal Processing
Algorithm Implementation
Software Design
Agile
Optimization
Statistics
Linear Algebra
Differential Equations
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile