Software Engineer (Ful-Stack & Scientific Visualization)

Position: Software Engineer (Ful-Stack & Scientific Visualization)

Location: Central Virginia / Charlottesville, VA metro area (Madison, VA)

ARiA applies broad interdisciplinary expertise in acoustics, machine learning, and signal processing toward innovative R&D for government and corporate clients. As a high-impact, 20-person prime contractor, ARiA solves critical challenges—from helping the Navy use simulation to train sailors on sonar to working with the Air Force to transform technology acquisition through AI. We offer the technical autonomy of a startup with the mission-critical stability of a defense leader.

ARiA: Real Research. Real World.

For more information, visit www.ariacoustics.com.

Position Description:

ARiA is seeking highly motivated software engineers specializing in full-stack development for the visualization of complex scientific data—generated by artificial intelligence (AI), machine learning (ML), and physics-based numerical simulations—in two- and three-dimensional virtual environments and geospatial displays. These positions are an opportunity to join a high-velocity firm where you will engage deeply in challenging problems while developing the connective tissue between cutting-edge research algorithms and tactical, user-facing systems.

Success at ARiA is measured by technical stewardship and collective advancement. We value humble high-performers—experts who advocate for defensible ideas with confidence but exercise the intellectual humility to acknowledge when they are wrong. In our firm, every engineer is a leader; you must be a collaborative partner who views secure, maintainable code as a service to the broader research mission.

*Responsibilities:*

• Scientific Visualization: Design and develop 2D/3D virtual environments and geospatial displays that enable users to interact with and interpret data from physics-based simulations and AI/ML models
• Research-to-Product Integration: Build and test software that bridges the gap between novel computational and AI/ML models and robust, mission-ready full-stack applications
• Secure Development: Implement "Secure-by-Design" principles, ensuring all code meets evolving CMMC and NIST 800-171/53 standards within an automated CI/CD framework
• AI Integration: Leverage and develop AI-augmented engineering workflows to accelerate the transition of machine-learning models into fielded prototypes
• Mission Partnership: Work closely with ARiA scientists to identify technical trade-offs, ensuring that user interfaces are both technically robust and scientifically accurate

Requirements:

United States Citizenship and eligibility for a government security investigation are mandatory

Bachelor’s degree or higher in Computer Engineering, Computer Science, or a relevant technical field

Polyglot Proficiency: Expertise in modern languages including C, C++, Golang, JavaScript (React/BabylonJS/CesiumJS), and Python

Modern Deployment Stack: Experience with containerization (Docker) and microservices architecture (GraphQL Mesh, gRPC)

Intellectual Humility: Demonstrated ability to work independently while remaining highly receptive to peer feedback and technical cross-examination

Technical Communication: Superior ability to translate high-level mathematical and AI concepts into clear, actionable software designs

Desirable Skills, Qualifications, and Experience:

Master’s degree or greater in a relevant technical field

Expertise designing and developing full-stack applications including:

• frontend languages, libraries, and frameworks (e.g., HTML/ CSS, JavaScript, ReactJS, and CesiumJS),
• backend languages (e.g., Golang, Java, and Python),
• databases (e.g., Elasticsearch, MongoDB, and PostgreSQL),
• API design and implementation using multiple protocols (e.g., GraphQL, gRPC, and REST) and frameworks/tools (e.g., GraphQL Mesh, Swagger)

Experience with developing full-stack applications for highly technical specialist fields

Experience with integrating full-stack applications with numerical simulation of physical phenomena or processes

Experience with integrating full-stack applications with machine learning

Knowledge of and experience with GPGPU programing (CUDA, TensorFlow)

Knowledge of and experience with deep learning and modern deep-learning frameworks (TensorFlow, PyTorch)

Knowledge of and experience with image processing including modern deep-learning methods

Experience with scientific computing (e.g., numerical integration, special functions)

Knowledge of and prior practical work in signal processing (e.g., linear-system theory, digital signal processing)

Exposure to signal-processing applications in radar or sonar such as: beamforming, matched filtering, and spectral estimation

Knowledge of and facility with concepts from college-level physics (e.g., acoustics, wave propagation)

Knowledge of and facility with concepts from college-level mathematics (e.g., partial differential equations and linear algebra)

Job Type: Full-time

Pay: $85,000.00 - $200,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Relocation assistance

Application Question(s):

• This position requires compliance with Federal drug laws, even if such substances are legal in your state. Will you comply with Federal drug laws?
• Due to the nature of the information required to perform this job, U.S. Citizenship is required for this position. Are you a citizen of the United States?

Location:

• Madison, VA 22727 (Preferred)

Ability to Commute:

• Madison, VA 22727 (Required)

Work Location: In person