Staff Numerical Algorithm Engineer (Python/C++)

SciTec Incorporated; Boulder (CO); On-site; USD 98,000 - 146,000; Full time

Benefits offered by this job

401(k) match

100% company paid medical insurance

Paid Time Off

Flexible Work Hours

Paid Parental Leave

Discretionary Performance Bonus

Job summary

SciTec Incorporated is actively seeking talented software & algorithm developers in Boulder, Colorado. This role involves leading the research and development of advanced algorithms for remote sensing data exploitation, utilizing languages like Python and C++. Candidates should have a strong foundation in numerical methods and experience working in Agile teams.

The position offers a dynamic work environment and opportunities for professional growth along with a competitive salary range of $98,000 to $146,000 annually.

Qualifications

• 2+ years of experience developing numerical algorithms for signal processing.
• Demonstrated expertise in developing algorithms in Python and C++.
• Ability to work effectively in Agile or iterative development environments.

Responsibilities

• Lead research and development of advanced numerical algorithms.
• Design and optimize high-performance algorithms in Python and C++.
• Collaborate with cross-functional teams to integrate algorithms.

Skills

Python development

C++ development

Numerical methods

Signal processing

Machine Learning

Agile methodologies

Education

Bachelor’s or Master’s degree in relevant field

Tools

Linux

Docker

Kubernetes

Job description

SciTec Incorporated is actively seeking talented software & algorithm developers in Boulder, Colorado. This role involves leading the research and development of advanced algorithms for remote sensing data exploitation, utilizing languages like Python and C++. Candidates should have a strong foundation in numerical methods and experience working in Agile teams.

The position offers a dynamic work environment and opportunities for professional growth along with a competitive salary range of $98,000 to $146,000 annually.