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Senior Software Developer

Chenope·Salary not specified

Nice to have's

JavaAWS

Job description

About the Position

We are hiring Senior Software Developers with experience in Heterogeneous Sensor Fusion to work on challenging projects, with a primary focus on drones. These are true R&D labs in the sense that they will be expected to produce commercial products. The current focus is on building development teams for implementing proof of concept and example systems with some of our existing technology.

Responsibilities

  • Design and develop software for research and development labs
  • Work on projects that will produce commercial products
  • Focus on implementing proof of concept and example systems with existing technology

Requirements

  • At least 5 years of industry or equivalent experience
  • Prior work with sensor fusion, multi-evidence systems, or any other type of system in which very different types of data are being combined in order to generate better analytic results.
  • Prior experience with mathematical representations of complex, unstructured data such as hypergraphs.
  • Prior work with large scale data sets, particularly represented in graphs.
  • Prior work analyzing data from sensor types such as infrared, thermal, acoustic, and optical.
  • Ability to function as a professional software engineer. Strong computer science background.
  • Evidence of original work, whether work on well-known product, GitHub, papers, patents, etc.
  • Ability to make yourself understood in English

Nice to Have

  • Maths or Science background, covering both abstract and applied versions of the discipline
  • Knowledge of statistics
  • Java
  • AWS

Specific Areas

DISINFORMATION

Text analytics (multiple positions)

  • Must have an NLP or CL background; IR background also helpful
  • Experience with scalable text-oriented data storage helpful

Image processing (multiple positions)

  • Prior background in machine vision, ML, or image processing
  • Prior experience with scoring images and videos for specific qualitative features helpful

Data collection

  • Must have experience in data collection from a large variety of data sources using both scraping and API’s
  • Must have experience with tools and processes to validate the accuracy of the collection

Heterogeneous Sensor Fusion (primary focus on drones, multiple positions)

  • Prior work with sensor fusion, multi-evidence systems, or any other type of system in which very different types of data are being combined in order to generate better analytic results.
  • Prior experience with mathematical representations of complex, unstructured data such as hypergraphs.
  • Prior work with large scale data sets, particularly represented in graphs.
  • Prior work analyzing data from sensor types such as infrared, thermal, acoustic, and optical.
  • Knowledge of statistics helpful

Complex Visualization (multiple positions)

  • Prior experience designing & implementing complex visualizations, preferably in military or other mission-critical contexts
  • Strong knowledge of HCI principles
  • Prior experience usability testing and iteratively

We Offer

  • Opportunity to work on challenging and innovative projects
  • Be part of a team that produces commercial products
  • Work in a true R&D environment

Apply now!

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Chenope is developing software to detect anomalies in large scale heterogeneous data. Examples include video-text sensor fusion, detecting disinformation campaigns, and identifying political trends. Earlier versions of our technology have been used successfully in the legal, compliance, HR, and investigation markets, having generated meaningful revenue in each.Chenope is a small but multinational startup headquartered in the USA. We are 100% employee-owned, and financially stable. We are a true R&D house that differentiates ourselves on the basis of having superior IP that addresses high value real world problems. Chenope’s founders have previously had a successful startup, and have a long track record of producing real innovation including numerous well-cited patents.

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