Remote Sensing Software Engineer, Senior

Posted Yesterday
Hiring Remotely in Aurora, CO, USA
In-Office or Remote
87K-198K Annually
Senior level
Information Technology
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The Role
Architect remote sensing and space domain awareness software systems, including infrared imaging, radiometric models, ML-based detection, multi-sensor fusion, trajectory estimation, and 3D kinematic modeling. Lead technical direction, mentor engineers, and develop scalable scientific computing solutions using Python, C++, CUDA, HPC, and cloud platforms. The role requires remote sensing or GEOINT expertise and an active TS/SCI clearance.
Summary Generated by Built In
Remote Sensing Software Engineer, Senior

The Opportunity:

As a senior Remote Sensing Software 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 Work On:

  • Architect end‑to‑end remote sensing processing systems for infrared remote sensing missions.
  • Lead development of radiometric 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 methods.
  • 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 object-oriented programming languages such as C++ or JavaScript
  • Experience architecting with large-scale software environments such as CUDA, HPC, or cloud
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification
  • 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 OPIR, EO/IR, RF, Radar, or GEOINT tracks into fused solutions
  • Experience creating publications, white papers, presentations or mission briefings
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI‑augmented development workflows or agentic tools
  • Master’s degree in Physics, Mathematics, Computer Science, Software Engineering, or a related field preferred; Doctorate degree in Physics, Mathematics, Computer Science, Software Engineering, or a 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.

Skills Assessment As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.

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 $86,900.00 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.

Skills Required

  • 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 object-oriented programming languages such as C++ or JavaScript
  • Experience architecting large-scale software environments such as CUDA, HPC, or cloud platforms
  • Experience with machine learning systems for imagery processing, target detection, tracking, or object classification
  • Active TS/SCI security clearance
  • Willingness to take a polygraph exam
  • Bachelor's degree in a STEM field
  • Experience supporting missile warning or tracking missions with remote sensing systems
  • Experience building or training synthetic models for simulation-aided training
  • Experience integrating OPIR, EO/IR, RF, radar, or GEOINT tracks into fused solutions
  • Experience creating publications, white papers, presentations, or mission briefings
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI-augmented development workflows or agentic tools
  • Master's degree in Physics, Mathematics, Computer Science, Software Engineering, or a related field
  • Doctorate degree in Physics, Mathematics, Computer Science, Software Engineering, or a related field

Booz Allen Hamilton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Booz Allen Hamilton and has not been reviewed or approved by Booz Allen Hamilton.

  • Retirement Support — Retirement benefits are anchored by a dollar‑for‑dollar 401(k) match with immediate vesting and complemented by an employee stock purchase plan. Feedback suggests these features strengthen long‑term financial security beyond base pay.
  • Healthcare Strength — Health coverage spans medical, dental, vision, life, disability, mental health, and wellness incentives, with multiple plan options. Tax‑advantaged accounts and wellness contributions further enhance the breadth of coverage.
  • Leave & Time Off Breadth — Time‑off benefits include paid holidays, PTO that grows with tenure, and paid parental leave with additional unpaid time available. Flexible scheduling and remote options support work‑life balance alongside formal leave.

Booz Allen Hamilton Insights

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The Company
HQ: McLean, VA
Year Founded: 1914

What We Do

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®.

Why Work With Us

At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.

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