Remote Sensing / Signal Processing Software Engineer

Ursa Space Systems

United States

Remote

USD 135,000 - 145,000

Full time

10 days ago

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Benefits offered by this job

Competitive compensation

Discretionary PTO and flexible work

Stock options

401(k) match

Medical, dental, vision coverage

Job summary

Ursa Space Systems seeks a Remote Sensing & Signal Processing Software Engineer to advance geospatial and intelligence systems. The role blends software engineering with algorithms for SAR, RF, and sensor data across full-stack workflows.

You will design, implement, test, and deploy scalable software; collaborate with engineers, data scientists, and domain experts; and help lead complex projects in a fast-paced, mission-driven environment.

Qualifications

5+ years of professional experience in software engineering, algorithm development, signal processing, remote sensing, or related field.
BS or higher in Computer Engineering, Electrical Engineering, or related technical discipline.
Experience developing software using Python.
Experience designing, developing, and integrating software systems.
Experience with remote-sensing, SAR, RF, or other signal-derived data.
Ability to understand complex systems and cross-disciplinary collaboration.

Responsibilities

Design, develop, integrate, and maintain software for remote sensing and signal-processing applications.
Develop algorithms for processing, transforming, and exploiting sensor and geospatial data.
Apply CS fundamentals to technically complex problems.
Develop applications and data-processing pipelines using Python and other languages.
Contribute to full-stack development including backend services and APIs.
Translate requirements into scalable software architectures and solutions.
Work across sensors, signal processing, data pipelines, and applications.
Participate in architecture, design, integration, and implementation activities.
Develop and integrate algorithms for sensor data processing.
Work with large, heterogeneous datasets.
Support automated workflows and orchestration of data and algorithms.
Collaborate with systems engineers, analysts, data scientists, and software engineers.
Participate in technical planning and architecture decisions.
Provide testing, debugging, performance optimization, and deployment support.
Document architectures, designs, and interfaces.
Provide technical leadership on projects.
Occasional nights and weekends may be required.

Skills

Python programming

Software engineering fundamentals

Signal processing

Remote sensing

Systems engineering

Algorithms development

Education

Bachelors in Computer/Electrical Engineering or related

Job description

Remote Sensing / Signal Processing Software Engineer

About Ursa Space Systems

Ursa Space Systems builds the software and AI agents that guide the acquisition, analysis, and integration of satellite and geospatial data into customer workflows, delivering valuable insights for global security and commodity markets. By leveraging satellite data and advanced analytics, Ursa Space provides fast, actionable information to a range of industries, including finance, energy, and defense.

Summary

We are seeking a Remote Sensing & Signal Processing Software Engineer to support the development of advanced geospatial and intelligence systems. This role is ideal for a technically versatile engineer who combines strong software engineering fundamentals with practical experience working with remote sensing, signal processing, SAR, RF/radar systems, and geospatial data.

The successful candidate will serve as a technical bridge between software engineering, development of algorithms, data processing, and systems engineering. This is a "full-stack" engineering role in the technical sense, requiring an understanding of how data moves from sensors and signal-processing algorithms through software pipelines, orchestration layers, analytics, and end-user applications.

Candidates should be comfortable working across multiple technical domains and contributing throughout the lifecycle of complex projects—from architecture and design through implementation, integration, testing, and deployment.

Experience working with SAR, SIGINT, MASINT, RF, radar, or other intelligence-related sensor data is highly relevant.

Key Responsibilities

Design, develop, integrate, and maintain software supporting remote sensing and signal-processing applications.
Develop software and algorithms for processing, transforming, analyzing, and exploiting complex sensor and geospatial data.
Apply strong computer science and software engineering principles to technically complex problems.
Develop and maintain applications and data-processing pipelines using Python and other appropriate programming languages.
Contribute to full-stack software development, including backend services, data processing, orchestration, and APIs as applicable.
Translate remote-sensing and signal-processing requirements into scalable software architectures and technical solutions.
Work across the complete system to understand how sensors, SAR, RF/radar systems, signal processing, algorithms, data pipelines, software, and applications interact.
Participate in system architecture, technical design, integration, and implementation activities.
Develop and integrate algorithms for processing and exploiting remote-sensing and other sensor-derived data.
Work with large, complex, and potentially heterogeneous datasets.
Support the development of automated workflows and orchestration systems for data and algorithm processing.
Collaborate with systems engineers, analysts, data scientists, software engineers, and domain experts.
Participate in technical planning and contribute to project-level architecture and engineering decisions.
Contribute to testing, debugging, performance optimization, and deployment.
Document software architecture, technical designs, interfaces, and engineering decisions.
Provide technical leadership on projects and workstreams.
Based on the needs of the company, you may be required to work occasional nights and weekends
All other duties as assigned

Required Qualifications

5+ years of professional experience in software engineering, algorithm development, signal processing, remote sensing, systems engineering, or a closely related field.
Bachelor's degree or higher in Computer Engineering, Electrical Engineering, or a related technical discipline.
Strong understanding of computer science and software engineering fundamentals.
Professional experience developing software using Python.
Experience designing, developing, and integrating software systems rather than solely performing analysis or research.
Experience working with remote-sensing, SAR, RF, or other signal-derived data.
Understanding of signal-processing concepts and their application to real-world sensor systems.
Ability to understand complex systems and the relationships between individual components.
Experience contributing to software or systems architecture and technical design.
Ability to work effectively across multiple technical disciplines and translate between software, algorithms, data, and systems engineering teams.
Strong problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications

Experience with SIGINT (Signals Intelligence) and/or MASINT (Measurement and Signature Intelligence) data.
Experience working with SAR, RF, radar, electromagnetic, or other sensor modalities.
Experience with geospatial data, remote sensing, imagery, or Earth-observation systems.
Experience developing signal-processing or sensor-data algorithms.
Experience with distributed data-processing systems or workflow orchestration.
Experience with cloud-based software architectures and services.
Experience developing APIs, backend services, or full-stack applications.
Experience with containerization, CI/CD, automated testing, and modern software-development practices.
Experience working with large-scale or high-volume sensor datasets.
Systems engineering experience.
Experience leading technical projects, workstreams, or multidisciplinary engineering teams.
Experience serving as a technical lead or technical project manager.
Experience working in the defense, intelligence, aerospace, or national-security sectors.
Experience with government or DoD programs.