Simulation Software Engineer

Toyon Research Corporation•Goleta, CA

1d•Onsite

About The Position

Toyon is seeking a highly motivated software engineer to develop and maintain an internal space systems modeling and simulation application written in C++. The candidate will also deploy scripted workflows to support and contribute to the modeling and analysis of advanced aerospace systems. The ideal candidate has a strong syntactical and semantic understanding of the C++ and Python languages and is not dependent on Large Language Models for writing and analyzing code.

Requirements

Bachelor’s or advanced degree in computer science, engineering, physics, or math and 2 years of relevant experience
Strong proficiency in C++ and Python programming languages
Experience with version control software (Git, Bitbucket, GitLab)
Experience with software testing methodologies (unit, integration, regression)
Ability to create/manage workflows in scripted programming languages
Practical working knowledge of algorithms that involve statistical and applied probability methods (Monte Carlo sampling, hypothesis tests, regression models)
U.S. Citizenship is Required.
Ability to qualify for a US Department of Defense security clearance required.

Nice To Haves

Active security clearance (Secret or Top Secret)
Experience working with classified data and secure computing environments
Exposure to aerospace vehicle dynamics, flight mechanics, or GNC (guidance, navigation, & control) systems
Exposure to Space Situational Awareness concepts, EO/IR sensor and radar phenomenology
Experience with detection, tracking, and discrimination algorithms
Background in high-performance, computationally intensive simulations (profiling, multithreading, compiler-level tuning)
Familiarity with non-object-oriented architectures such as Entity-Component frameworks

Responsibilities

Develop and execute rigorous testing methodologies, including unit, integration, and system-level testing
Leverage academic and industry resources to implement novel probability and physics models
Refactor and optimize existing models for high performance computing environments
Create and track development action items and monitor test performance using GitLab
Collaborate closely with cross-functional teams of engineers, scientists, and project managers to translate technical requirements into robust and efficient software solutions