2

Reconnaissance Remote Jobs (NOW HIRING)

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$127K - $167.50K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$128.90K - $170K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness ...

Remote Work Authorization: US Citizen Security Clearance: Able to get US Public Trust clearance ... Understanding of possible attack activities such as network reconnaissance probing/ scanning, DDOS ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an Acquisition Lead to ... Reconnaissance Office (NRO) in the Chantilly, VA area. The Acquisition Lead will be critical ...

next page

Showing results 1-20

Reconnaissance Remote information

See salary details

$83.5K

$127K

$171K

How much do reconnaissance remote jobs pay per year?

As of Jun 1, 2026, the average yearly pay for reconnaissance remote in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Reconnaissance Remote Operator, and why are they important?

To thrive as a Reconnaissance Remote Operator, you need a strong background in data analysis, geospatial intelligence, and remote sensing, often supported by a relevant degree or military training. Familiarity with GIS software, satellite imaging systems, and surveillance technologies is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and coordinating findings with operational teams. These skills ensure accurate intelligence gathering and efficient mission support in dynamic and sensitive environments.

What are some typical challenges faced by professionals in a Reconnaissance Remote role, and how can they be addressed?

Professionals in Reconnaissance Remote positions often encounter challenges such as operating in unfamiliar environments, managing data security, and maintaining reliable communication links. To address these, it's important to stay updated on the latest remote sensing technologies, follow strict cybersecurity protocols, and participate in regular training exercises. Collaboration with IT specialists and intelligence analysts is also key to ensuring mission success and adapting to rapidly changing operational scenarios.

What is a Reconnaissance Remote?

A Reconnaissance Remote is a specialized unmanned device or system used to gather information and conduct surveillance in areas that may be dangerous or difficult for humans to access. These remotes are often equipped with cameras, sensors, and communication tools to transmit real-time data back to operators. They are commonly used in military, law enforcement, and search-and-rescue missions to assess situations safely. Reconnaissance Remotes can be ground-based, aerial (drones), or even underwater, depending on the mission requirements. Their use enhances situational awareness and minimizes risk to personnel.

What is the difference between Reconnaissance Remote vs Reconnaissance On-Site?

AspectReconnaissance RemoteReconnaissance On-Site
Work EnvironmentRemote, often from home or remote locationsOn-site, at physical locations
Required CredentialsSimilar certifications, such as cybersecurity or reconnaissance trainingSame as remote, with additional on-site safety or security clearances
Industry UsageCommon in cybersecurity, intelligence, and research sectorsUsed in security, military, and field research roles
Work FlexibilityHigh flexibility, remote access tools neededLess flexible, requires physical presence

Reconnaissance Remote and Reconnaissance On-Site share similar credentials and industry applications, but differ mainly in work environment and flexibility. Remote roles offer more flexibility and are suited for digital or intelligence tasks, while on-site roles involve physical presence for security or field research activities.

More about Reconnaissance Remote jobs
What cities are hiring for Reconnaissance Remote jobs? Cities with the most Reconnaissance Remote job openings:
What are the most commonly searched types of Reconnaissance jobs? The most popular types of Reconnaissance jobs are:
What states have the most Reconnaissance Remote jobs? States with the most job openings for Reconnaissance Remote jobs include:
What job categories do people searching Reconnaissance Remote jobs look for? The top searched job categories for Reconnaissance Remote jobs are:
Infographic showing various Reconnaissance Remote job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 39% Physical, and 61% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Senior Numerical Algorithm Software Engineer

Senior Numerical Algorithm Software Engineer

SciTec

Boulder, CO โ€ข On-site, Remote

$127K - $167.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

SciTec has immediate opportunities for talented software & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks.

Responsibilities

  • Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF)
  • Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments
  • Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment
  • Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration
  • Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data
  • Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment
  • Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools
  • Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators
  • Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments
  • Other duties as assigned

Requirements

  • Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
  • 8+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation (or 6+ years with a Master's, 4+ with a PhD)
  • Demonstrated expertise in developing and implementing algorithms in Python and C++
  • Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques
  • Experience working with real-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems)
  • Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking
  • Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD)
  • Ability to work effectively in Agile or iterative development environments
  • Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
  • U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred)

Candidates who have any of the following skills will be preferred

  • PhD in Applied Mathematics, Physics, Electrical Engineering, or related field
  • Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems, or computer vision)
  • Familiarity with machine learning frameworks and integration of ML models into operational pipelines
  • Experience optimizing algorithms for performance (e.g., parallel computing, GPU acceleration, memory optimization)
  • Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or space-based sensors
  • Experience transitioning algorithms from research/prototype to production/operational environments
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with modeling and simulation environments supporting sensor system development
  • Prior experience leading technical efforts or mentoring junior engineers
  • Active DoD security clearance

*Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Benefits

SciTec offers a highly competitive salary and benefits package, including:

  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $155,000 - $180,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VETS/Disabled.


SciTec logo

About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979