Remote Radar Systems Engineer — Growth & Impact

Ursa Space Systems; Town of Ithaca (NY); On-site; USD 152,000 - 163,000; Full time

Job summary

Ursa Space Systems in Ithaca, NY, invites a Radar Systems Engineer to develop, implement, and test signal processing algorithms for SAR imagery within a fast-paced AMTI program. You will move code from prototype to production, solving problems across geospatial processing and data fusion in a remote-friendly environment.

The role emphasizes building robust algorithms, collaborating across teams, and delivering high-quality, scalable software for a global client base.

Qualifications

• M.S. in Engineering, CS, Math, Physics or related field.
• 3-5 years of experience.
• Proficiency in Python and Git.
• Experience with remote sensing and signal processing for SAR/RF.
• Familiarity with SAR imaging modes and focusing algorithms.
• Understanding of radar signal processing algorithms (detection).
• Ability to communicate technical information clearly and work on cross-functional teams.
• Fast, reliable internet connection for remote work.

Responsibilities

• Create algorithms to classify objects in SAR imagery.
• Contribute to state-of-the-art processing techniques for SAR imagery.
• Develop and test AMTI-style SAR algorithms for production use.
• Analyze performance of processing algorithms for specific use cases.
• Participate in agile software development to deploy algorithms operationally.
• Engage in design discussions and code reviews; mentor junior engineers.
• Provide technical leadership to projects and programs.

Skills

Python

Signal processing

SAR imagery

Remote sensing

Git

Cross-functional teamwork

Algorithm development

Communication

Education

M.S. in Engineering / CS / Math / Physics

Tools

Git

Job description

Ursa Space Systems in Ithaca, NY, invites a Radar Systems Engineer to develop, implement, and test signal processing algorithms for SAR imagery within a fast-paced AMTI program. You will move code from prototype to production, solving problems across geospatial processing and data fusion in a remote-friendly environment.

The role emphasizes building robust algorithms, collaborating across teams, and delivering high-quality, scalable software for a global client base.