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Optical Engineer

Roles & Responsibilities

  • PhD in a relevant field (e.g., optical engineering, electrical engineering, physics, or mathematics) with ability to conceive, design, model, simulate, test, and analyze signal processing techniques for optical and active sensing systems
  • Proficiency in C/C++, Python, MATLAB and experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
  • Experience with computer vision and deep learning architectures (CNNs, RNNs, GANs, autoencoders, transformers) and image processing for multi-INT imaging
  • Experience with OpenCV, Pandas, NumPy, SLURM, Git, Jupyter, LaTeX, Linux and demonstrated written and oral communication skills

Requirements:

  • Carry out technical management, design, development, analysis, installation, and operation of optical sensor systems and processing algorithms, coordinating with DoD, academia, and industry partners
  • Develop and analyze spectral target detection and classification approaches, geo-registration schemes, sensor noise/uncertainty models, atmospheric/environmental models, and lidar/radar processing techniques
  • Design and analyze machine learning and computer vision models for pattern recognition in unstructured data, including automatic target detection, localization, classification, segmentation, tracking in 2D/3D imaging, synthetic image generation, anomaly detection, and image enhancement/reconstruction
  • Document research results and communicate findings for internal collaboration and external dissemination; support execution of technical programs and interface with technology experts

Job description

Purpose and Impact:

The position is primarily focused on research, development, and assessment of optical sensor systems, processing schemes, and exploitation frameworks in support of U.S. Naval intelligence, surveillance, and reconnaissance (ISR) missions and Command, Control, Computer, Communications, Intelligence, Surveillance and Reconnaissance (C4ISR) goals.  This includes developing and evaluating the performance of processing algorithms (e.g., target detection and identification), determining requirements, and demonstrating real-time sensor operation, on-board data processing, and exploitation techniques for ISR sensor systems.  The position involves generation, documentation, and communication of research results related to sensor and target detection system performance analyses; mathematical and computer modeling and simulation; development and operation of electro-optic, infrared, hyperspectral and other multi-INT sensor and processing systems; and the design and development of automated decision-making algorithms for mapping sensor observations to actions—whereby overall research goals are to strengthen the Naval Research Enterprise and support Navy imperatives via transition of scientific and technical advances into deployed systems and platforms.

Work Schedule: 9-5

Essential Responsibilities:

The incumbent carries out technical management, reporting, design, development, analysis, installation, and operation of sensor systems, processing algorithms, and related computer hardware and software in coordination with the DoD, academia, and other industry partners.  Other duties include development and analysis of spectral target detection and classification approaches, geo-registration schemes, sensor noise and uncertainty quantification models, atmospheric/environmental models, and lidar/radar systems and processing techniques. Additional duties include design, development, and analysis of machine learning and computer vision models supporting, for example: pattern recognition within unstructured data ensembles; automated target detection, localization, classification, segmentation, and tracking within 2D (e.g., infrared) and 3D (e.g., hyperspectral) images and video sequences; synthetic image generation; unsupervised anomaly detection; and computational image enhancement and reconstruction (e.g., de-noising, super-resolution, and sparse recovery). The incumbent must be knowledgeable in data science, computational methods, and machine learning with experience in numerical methods for the solution of inverse problems (e.g., regularized optimization frameworks), computer vision and image processing schemes, and deep learning architectures and approaches (e.g., CNNs, RNNs, GANs, autoencoders, transformers, etc.). Coding experience and proficiency in advanced technical software languages (e.g., C/C++, MATLAB, SQL, Python) and modern deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) is required. The incumbent must support the execution of technical programs, interface with technology experts throughout the community, and generate documentation of research results when necessary and as appropriate for internal collaboration and external dissemination.

Work Environment, Physical Demands, and Mental Demands:

Work environment is primarily desk- and computer-oriented with no heavy lifting or strong mental demands. 

Minimum Requirements:

  • Ability to conceive, design, model, simulate, test, and analyze signal processing techniques for optical and active sensing systems in support of Navy surveillance, reconnaissance, and remote sensing missions and requirements.
  • Knowledge of various mathematical techniques, numerical methods, and algorithms relevant to signal processing and computer vision such as multi-instance segmentation and tracking in images and videos, regularized optimization frameworks for image recovery, generative adversarial networks for image synthesis, and deep learning architectures and training frameworks for processing sequential data (e.g., RNNs) and images (e.g., CNNs).  
  • Ability to conceive and develop both offline and online real-time algorithms for signal processing and machine learning-based exploitation of multi-INT imaging sensors (e.g., panchromatic and hyperspectral) in the visible and infrared wavebands including algorithms that usefully inform decision making (e.g., multi-class object localization and recognition).
  • Knowledge of advanced mathematics, numerical methods, scientific programming languages (e.g., C/C++, Python, Matlab), and deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).   
  • Ability to communicate orally.
  • Ability to communicate in writing.

Minimum Education:

  • PhD

Minimum Years of Experience:

  • 1-2

Preferred Qualifications:

  • Experience with OpenCV, Pandas, NumPy, SLURM, Git, Jupyter, LaTeX, and Linux.

#javelin

       

Compensation Details:

$123,000

       

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

 

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

 

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

       

Original Posting:

04/02/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

       

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed,  marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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