Numerical Algorithm Software Engineer

SciTec is seeking a Numerical Algorithm Software Engineer to join their defense and intelligence solutions team. This role combines software engineering expertise with advanced algorithm development for sensor data processing and exploitation.

The position offers an exciting opportunity to work on cutting-edge defense technology projects, developing low-latency data processing, fusion, and tracking algorithms for remote sensing systems. The ideal candidate will be proficient in both Python and C++, with experience in algorithm development and implementation on Linux systems.

Key aspects of the role include researching and implementing new algorithms for remote sensor data exploitation, developing proof-of-concept tools, and working in an Agile team environment. The position requires a strong background in physical sciences, mathematics, engineering, or computer science, with at least five years of relevant experience in defense-related technological fields.

SciTec offers a comprehensive benefits package including stock ownership opportunities, fully-paid medical insurance, 401(k) contributions, and various insurance coverages. The company culture emphasizes collaboration, innovation, and technical excellence.

The role is based in Boulder, Colorado, and requires U.S. citizenship due to government contract requirements. This position offers an excellent opportunity for professional growth in a dynamic small business environment, working on meaningful projects that support national security and defense initiatives.

Candidates with experience in OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data analysis will be particularly valued. The position offers competitive compensation ranging from $117,000 to $168,000 annually, with additional benefits including profit sharing and performance bonuses.

This role would be ideal for someone who enjoys complex problem-solving, has a strong technical background, and wants to contribute to national defense capabilities while working in a collaborative, small-team environment.