BAE Systems

Imagery Anst Sr Prin

BAE Systems$120K — $150K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years as Imagery Analyst or Image Scientist, with degree substitution possible.
  • 6+ years of SAR analysis expertise, focusing on collection and exploitation products.
  • 5+ years in a supervisory role including staffing and timecard management.
  • Proficient in developing and testing SAR algorithms using advanced tools like Python and MATLAB.
  • Familiarity with image quality metrics such as Integrated Sidelobe Ratio and Multiplicative Noise Ratio.
  • Ability to effectively communicate SAR imagery capabilities to diverse audiences.
  • In-depth knowledge of remote sensing principles and advanced imagery processing.

Responsibilities

  • Conduct assessments of new sensor capabilities compared to existing platforms.
  • Analyze metadata and data structure for integration with current data pipelines.
  • Determine acquisition methods for new data and assess associated latencies.
  • Standardize data for compatibility with existing standards and transformation processes.
  • Identify gaps in sensor capabilities and propose supplemental data sources.
  • Explore options for coincident imagery collection from other platforms.
  • Manage time, deadlines, and report generation as required.

Benefits

  • Support for professional development and training opportunities.
  • Collaborative work environment with team-oriented projects.
  • Exposure to cutting-edge technology and methodologies in the field.
  • Opportunities for leadership and project management experience.
Full Job Description
Job Description

The SAR Imagery Scientist Lead serves as the subject matter expert in Synthetic Aperture Radar (SAR) Imagery modality, provides technical direction and conducts the research necessary to acquire and prepare imagery of the necessary quality, standards, and requirements provided by the Government. The qualified individual will develop solutions stemming from their deep experience working with imagery from a variety of sensors and platforms. The SAR Imagery Scientist will routinely provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve curation and development in support of Machine Learning algorithm testing and evaluation. The Lead will also serve as supervisor of BAE Systems and partner personnel.

Day-to-day tasks may include but not be limited to:
  • Conducting assessments of potential differences between new sensor characteristics and capabilities as compared to currently utilized platforms.
  • Assessing potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, API's and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
  • Determining how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
  • Determining how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
  • Investigating any gaps in the emerging sensor capability that may need to be supplemented by other sources.
  • Exploring options for coincident imagery collects from other imagery platforms (e.g. EO platforms) that align with areas of emerging sensor's collection. Determine other platforms with similar geographic and temporal coverage.
  • Managing time, timesheet deadlines, and report generation as needed.


Required Skills and Education

  • 15+ years of full-time experience as an Imagery Analyst or Image Scientist (an applicable degree may be substituted for some experience).
  • 6+ years of SAR analysis with understanding of collection, phenomenology, image formation process, and exploitation products.
  • A minimum of 5 years in a leadership or supervisory role processing personnel, staffing actions and overseeing timecards where necessary.
  • Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery including using advanced processing tools, such as Python, MATLAB, Google Earth Engine, etc., to automate scientific processes of SAR imagery data to aid analysis
  • Experience in RNIRS, information theoretic-based image quality metrics, SAR imagery quality metrics (e.g., Integrated Sidelobe Ratio, Multiplicative Noise Ratio), and sensor metadata describing impacts of geometry on phenomenology.
  • Must possess experience communicating with a variety of technical and non-technical audiences on availability and capabilities of SAR imagery products, methodologies, procedures and algorithms to enhance analysis.
  • Must possess deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods.
  • Current TS/SCI security clearance with ability to obtain CI Poly


This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Preferred Skills and Education

  • Experience applying Computer Vision (CV) and machine learning (ML) techniques to SAR imagery to address intelligence problems.

About BAE Systems

BAE Systems plc is a British multinational arms, security, and aerospace company. It is among the world's largest defense contractors, with over 85,000 employees and operations in over 40 countries. BAE Systems is involved in the design, development, and manufacture of a wide range of products and services, including military aircraft, naval ships, and land vehicles. The company also provides a range of cybersecurity and intelligence services. BAE Systems has a long history, dating back to the 19th century, and has been involved in many major defense projects. Visit baesystems.com for more information.
Learn more about BAE Systems
Size
90,500 employees
Industry
Founded
1997
NASDAQ

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