ZipRecruiter

Log In

2

Remote Algorithm Engineer Intern Jobs in Dulles, VA

STR

Senior Scientist - Radar Signal Processing

Arlington, VA · On-site +1

$139K - $170K/yr

... Engineer to develop advanced sensing concepts utilizing adaptive radar signal processing, resource ... Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ...

previous page

Showing results 41-60

All JobsAlgorithm Engineer Intern JobsRemote Algorithm Engineer Intern JobsRemote Algorithm Engineer Intern Jobs in Dulles, VA

Remote Algorithm Engineer Intern information

See Dulles, VA salary details

$8

$16

$24

How much do remote algorithm engineer intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote algorithm engineer intern in Dulles, VA is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What cities near Dulles, VA are hiring for Remote Algorithm Engineer Intern jobs?

Cities near Dulles, VA with the most Remote Algorithm Engineer Intern job openings:

Remote Algorithm Engineer Intern jobs near you
Infographic showing various Remote Algorithm Engineer Intern job openings in Dulles, VA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $35,075 per year, or $16.9 per hour.

Scientific Software Engineer / Computational Physicist

Springfield, VA • On-site, Remote

aqua IT
See more jobs at aqua ITexternal

Full-time

Posted 8 days ago

Job description

Position Overview

We are seeking a Scientific Software Engineer / Computational Physicist to support a research and development program focused on remote sensing, physics-based modeling, and scientific algorithm development.

This role requires a strong background in scientific programming and applied physics. An initial focus will be evaluating an existing scientific codebase originally developed in MATLAB and later converted to Python. The engineer will assess both the software implementation and underlying physics to determine whether models and calculations accurately represent the intended physical phenomena.

The ideal candidate can independently review scientific code, understand the governing physics and mathematical models, identify questionable assumptions or implementations, and develop or improve computational approaches to support ongoing R&D efforts.

Key Responsibilities

  • Review, debug, validate, and improve scientific Python code, including functionality converted from legacy MATLAB.
  • Evaluate whether computational models accurately represent the intended physics, mathematical assumptions, and governing equations.
  • Identify errors or inconsistencies in scientific models, numerical implementations, and MATLAB-to-Python conversions.
  • Work with physics-based models involving areas such as heat transfer, fluid dynamics, radiative processes, and material properties.
  • Develop and evaluate algorithms supporting remote sensing, infrared sensing, spectral analysis, and related R&D efforts.
  • Apply numerical modeling and optimization techniques to scientific and engineering problems.
  • Translate physical principles, mathematical models, and scientific research into computational implementations.
  • Develop validation approaches and evaluate model and algorithm performance, sensitivity, uncertainty, and limitations.
  • Document and communicate technical findings, methodologies, assumptions, and recommendations.

Required Qualifications

  • B.S. in a STEM discipline with 10+ years of relevant experience, or M.S. in STEM with 6+ years of relevant experience.
  • Strong scientific programming experience in Python.
  • Experience with remote sensing.
  • Experience with numerical modeling, scientific computing, simulation, or scientific algorithm development.
  • Strong background in physics, engineering, applied mathematics, or a related scientific discipline.
  • Demonstrated ability to evaluate scientific software and the underlying physical or mathematical models.
  • Knowledge of optimization techniques, such as particle swarm optimization.
  • Active TS/SCI with willingness to obtain a CI Poly.

Preferred Qualifications

  • Experience with MATLAB, particularly scientific or physics-based applications.
  • Experience with infrared remote sensing and/or spectral analysis.
  • Knowledge of flight dynamics.
  • Experience with GitLab and Git CLI.
  • Experience reviewing, comparing, converting, or validating MATLAB and Python scientific implementations.