Develop and integrate software, algorithms, and data-processing pipelines for remote sensing, SAR, RF, radar, and geospatial systems. Responsibilities include architecture, backend and API development, workflow orchestration, sensor-data analysis, system integration, testing, optimization, deployment, and technical documentation. Collaborate across software, systems, data science, and intelligence disciplines while providing technical leadership on complex projects.
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.
SummaryWe 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
- 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.
- 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.
Compensation
- $135,000 - $145,000, relative to skills and experience
Similar Jobs
Aerospace • Hardware • Robotics • Software
Build and lead Revel’s in-house accounting function, transitioning work from an outsourced provider. Own monthly, quarterly, and annual close, reporting, US GAAP and ASC 606 guidance, internal controls, finance systems, automation, audits, and accounting policies. Partner with sales and operations on budgeting, billing, collections, and deal structuring. Hire and develop the accounting team while preparing the company for future SOX compliance, multi-entity growth, and potential fundraising or IPO readiness.
Top Skills:
Ai AutomationAsc 606CmmcErp SystemsItarNetSuiteRampUs Gaap
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate property and casualty coverage, and converts prospects into policyholders. The role includes paid licensing and sales training, customer relationship building, lead conversion, and brand representation. Employees must work a set weekday and weekend schedule, maintain a compliant home workspace with wired high-speed internet, and obtain a Property and Casualty license after hire.
AdTech • Agency • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • PropTech
Leads hands-on product design for data, analytics, intelligence, and AI products while building Digible’s design function. Responsibilities include managing and mentoring a product designer, shaping product strategy, leading customer research, creating design principles and systems, establishing design operations and career frameworks, and driving AI-native design practices. The role partners closely with product, engineering, agency, and leadership teams to improve customer engagement, trust, consistency, and design velocity.
Top Skills:
AI
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
