Sr. Software Developer (Computer Vision) at Maxar Technologies

Springfield, Virginia, United States

Maxar Technologies Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Defense, Government, National SecurityIndustries

Requirements

  • Must be a US Citizen, current/active TS/SCI clearance, and willing and able to obtain a CI Polygraph
  • BS in Computer Science or related degree with 15 years experience; or 10 years and a Masters degree; or a PhD with 8 years experience
  • Willing to work onsite in Springfield, VA
  • Strong developer, particularly in C++, Python, R, SQL and shell script
  • Experience writing and working with GPU-accelerated software
  • Experience using Docker for packaging and delivering data science capabilities
  • Experience developing and testing machine learning, deep learning, or computer vision models
  • Experience with Data Analytics
  • Experience in machine learning and data science
  • Experience conducting model feasibility research and algorithm development for machine learning

Responsibilities

  • Extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries
  • Ascertaining unique ways to apply algorithms to derive specific customer data analytic results
  • Applying big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities
  • Extending existing algorithms as required to support customer requirements
  • Applying data science methods to create and optimize convolutional neural networks that will perform classification, localization and segmentation of various modalities of remotely-sensed imagery
  • Contribute to the development of data analytics, user workflows and interfaces, security authentication, and service call architecture comprising a family of applications in our software suite
  • Create rapid prototypes and design and implement complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge
  • Work with emerging technologies and data science techniques in support of endeavors to address the critical needs of the Intelligence Community, Department of Defense, and other government agencies

Skills

Python
Computer Vision
Machine Learning
Convolutional Neural Networks
Big Data Analytics
Data Science
Neural Networks

Maxar Technologies

Earth intelligence and space infrastructure solutions

About Maxar Technologies

Maxar Technologies specializes in Earth intelligence and space infrastructure, providing essential solutions for both government and commercial clients. The company offers services that help clients monitor and understand changes on our planet, including global broadband communications and advanced capabilities for space exploration. Maxar utilizes its extensive experience and commercial technology to deliver solutions that are fast, scalable, and cost-effective. Unlike many competitors, Maxar focuses on delivering precise and reliable data that supports informed decision-making and strategic planning. The company's goal is to generate value through contracts and partnerships, ensuring clients have the information they need to navigate complex global challenges.

Richmond Hill, CanadaHeadquarters
1957Year Founded
$58.1MTotal Funding
IPOCompany Stage
Data & Analytics, Government & Public Sector, AerospaceIndustries
1,001-5,000Employees

Risks

Data breach could lead to reputational damage and legal liabilities.
Layoffs may impact operational efficiency and employee morale.
GPS-free navigation development may face technical challenges and high costs.

Differentiation

Maxar specializes in complete space solutions and geospatial intelligence.
The company leverages decades of mission expertise for high-value solutions.
Maxar offers GPS-free navigation using 3D maps for drones and airplanes.

Upsides

Partnership with Satellogic enhances defense monitoring capabilities.
Divestment of WeatherDesk allows focus on core space infrastructure.
Global availability on SkyWatch platform boosts satellite imagery accessibility.

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