Computer Vision Analyst Level II

Lockheed Martin

Quick summary

Work type: On-site
Location: Littleton, CO
Salary: $89,300–$157,435 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $123k

$74k most similar roles pay here $230k

This role pays less than 86% of similar roles. Most pay $141,200–$211,200 — the shaded band above. At the midpoint, this role pays about $123k versus about $176k for comparable roles.

Based on 239 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 611 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 304 roles with salary data.

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View all roles at Lockheed Martin

At a glance

TL;DR · Computer Vision Analyst Level II

Role Posting Log in to save

As a motivated engineer joining Lockheed Martin Space’s high-impact team, you will develop and support an end-to-end digital simulation platform for mission-critical platforms. Your day-to-day responsibilities include updating the simulation, conducting statistical analysis using Monte Carlo simulations, generating interactive dashboards, debugging computer-vision algorithms, and collaborating with hardware teams to ensure seamless integration. You must be proficient in Python (NumPy, SciPy, Pandas, Bokeh), C++, Linux development environments, and shell scripting, while also understanding statistical methods and having foundational knowledge of core computer vision and signal-processing algorithms. This role requires an active Top Secret security clearance and a background in Computer Science or related fields with 1+ years of experience, ideally including Docker and CI/CD pipeline familiarity.

Skills

Python NumPy SciPy Pandas Bokeh Linux C++ MATLAB Docker GitLab CI CI/CD Monte Carlo Design of Experiments Monte-Carlo Uncertainty Quantification Computer Vision Signal Processing Feature Extraction Optical Flow SLAM Matrix Factorization Linear Algebra

What you'll do

Operate and update the digital simulation platform.
Conduct statistical analysis using Monte-Carlo simulations and Design-of-Experiments.
Develop interactive dashboards and generate reports for stakeholders.
Define test cases, compare simulation results with ground-truth data, and document validation evidence.
Debug computer-vision algorithm performance in the simulation environment.

What we're looking for

Proficiency in Python and related libraries (NumPy, SciPy, Pandas, Bokeh)
Understanding of statistical methods including Monte Carlo simulations
Ability to generate clear visualizations for technical and non-technical audiences
Experience with Linux development environments and shell scripting
Active Top Secret security clearance required

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