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Software Developer
1 month ago
At Systems Planning and Analysis, Inc. (SPA), we are seeking a highly skilled Software Engineer to join our Veracity Forecasting Group. As a key member of our team, you will be responsible for designing and developing software tools that produce authoritative, data-driven analyses for our clients.
As a software engineer, you will work closely with our team to maintain the high standards of quality that we have established for our analytical products. You will also be responsible for developing novel prototypes and expanding the capabilities of our existing simulation and modeling tools.
This is a hybrid role, and you will have the opportunity to work from either our office in Perry, Utah, or our location in Alexandria, Virginia.
Responsibilities
- Design and develop software tools that produce authoritative, data-driven analyses for our clients
- Maintain the high standards of quality that we have established for our analytical products
- Develop novel prototypes and expand the capabilities of our existing simulation and modeling tools
Qualifications
To be successful in this role, you will need to have a Bachelor's or Master's degree in a relevant field, such as Computer Science, Computer Engineering, or a related field. You will also need to have excellent programming and software engineering skills, with a minimum of 2 years of experience in at least one of the following programming languages: Python, C/C++, Java, C#, JavaScript/Typescript, or Rust.
You will also need to be proficient in Git and have a strong attention to detail, excellent verbal and written communication skills, and a desire to work on and solve challenging problems. Additionally, you will need to be able to work independently and as part of a team.
Finally, you will need to be a US citizen and be able to obtain and maintain a DoD Secret clearance.
Desired Qualifications
We are looking for candidates with experience in object-oriented programming, physics-based modeling, advanced statistics and mathematics, numerical optimization, machine learning, and Monte Carlo simulation. Additionally, experience with React, FastAPI, Numpy/Scipy, Polars, Matplotlib, Pytorch, Tensorflow, numerical optimization toolsets and solvers, database design, and/or Linux and AWS or other cloud services would be a plus.
Department of Defense, Department of Navy, and/or United States Air Force experience is also highly desirable.
