Senior Remote Sensing Software Engineer

Remote in Dayton, OH, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
USD $86,800.00 - 198,000.00 per year
Fitment

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Job Details

Skills

  • Technical Direction
  • Analytics
  • Radio
  • Management
  • Sensors
  • Fusion
  • Estimating
  • 3D Computer Graphics
  • Modeling
  • Computational Science
  • Mentorship
  • Signal Processing
  • Astrodynamics
  • Satellite
  • SDA
  • Python
  • Object-Oriented Programming
  • C++
  • JavaScript
  • CUDA
  • HPC
  • Cloud Computing
  • Machine Learning (ML)
  • CGI
  • Continuous Integration and Development
  • Continuous Integration
  • Continuous Delivery
  • Kubernetes
  • Docker
  • Jenkins
  • Remote Sensing
  • Training
  • International Relations
  • Investor Relations
  • Information Retrieval
  • RF
  • Algorithms
  • Workflow
  • Publications
  • Presentations
  • Computer Science
  • Physics
  • Mathematics
  • Security Clearance
  • Finance
  • Professional Development
  • SAP BASIS
  • Recruiting
  • Biometrics
  • Fraud
  • Artificial Intelligence
  • Effective Communication
  • Leadership
  • Collaboration
  • Law

Summary

Job Number: R0242685

Remote Sensing Software Engineer, Senior
The Opportunity

As a Senior Remote Sensing Sof tware Engineer, you will architect advanced SDA and remote sensing exploitation pipelines, guide technical direction, and lead multi-disciplinary teams building high-fidelity space observation analytics. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.

You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user-centric tools that accelerate mission outcomes.

What You'll Do:
  • Architect end-to-end remote sensing processing systems for EO / IR missions
  • Lead develop ment of radio met ric and spectral response models
  • Oversee advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement
  • Direct ML-based anomaly detection, behavior classification, and object discrimination frameworks
  • Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data using Bayesian or ML-based met hods
  • Lead trajectory estimation and 3D kinematic modeling, including IOD, parallax exploitation, and uncertainty quantification
  • Architect scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms
  • Mentor junior engineers and help set technical road maps in collaboration with client and mission leadership


Join us. The world can't wait.

You Have:
  • 8+ years of experience in remote sensing, image or signal processing, or GEOINT data exploitation
  • Experience with orbital mechanics, satellite characterization, Domain-specific applications or SDA operational workflows
  • Experience with Python, scientific Python packages or other Object-oriented programming languages such as C++ or JavaScript
  • Experience architecting with large-scale sof tware environments such as CUDA, HPC or cloud
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification
  • Experience with administration of continuous integration / continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field


Nice If You Have:
  • Experience with remote sensing systems in support of missile warning or tracking missions
  • Experience with building or training synthetic models for simulation-aided training
  • Experience integrating EO / IR, RF, Radar, or GEOINT tracks into fused solutions
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI-augmented develop ment workflows or agentic tools
  • Ability to display a record of publications, whitepapers, presentations or mission briefings
  • Master's degree in Computer Science, Sof tware Engineering, Physics, Mathematics or related field preferred ; Doctorate degree in Computer Science, Sof tware Engineering, Physics, Mathematics or related field a plus


Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.


Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: booz
  • Position Id: R0242685
  • Posted 5 hours ago

Company Info

About Booz Allen Hamilton

Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®️.

We build advanced technology that protects America at the frontlines to the seabed, to space. When you ask our employees what makes that possible—and what they appreciate most about working here—it’s always the people.

Because we don’t just build tech. Assembled by creative thinkers, problem solvers, and collaborators, we build teams that know the mission and are rooted in a culture of heart and performance. It’s in our code.

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