Applied Research and Development (R&D) Scientist/Engineer: Signal Processing and Machine Learning

Applied Research and Development (R&D)

Scientist/Engineer:

Signal Processing and Machine Learning (Individual Contributor) ARiA is a specialized research and development (R&D) firm where advanced mathematics and machine learning meet real-world deployment. We apply interdisciplinary expertise in acoustics, signal processing, and computational modeling to solve high-consequence challenges that larger, more bureaucratic organizations are often unable to address. At ARiA, we don't just produce research; we build the technical engines that power the next generation of defense and commercial systems. As a lean, 20-person firm, ARiA operates in an environment of extreme accountability. There is no middle management and no paper-only roles. Everyone on the team has autonomy and commensurate responsibility to the team and the mission. We seek individuals who thrive on total ownership of a problem—from the initial whiteboard concept to the final field integration. Whether you are collaborating with the Army on AI assurance or helping Navy leaders transform sonar training through high-fidelity simulation, you are expected to be the primary driver of your mission. We are a small business where making a difference means being part of the team responsible for the solution.

ARiA:

Real Research. Real World.

TM For more information, visit www.ariacoustics.com.

U.S. CITIZENSHIP IS REQUIRED.

This position supports Department of War (DoW) combat systems and requires eligibility for a security clearance. Permanent Residents (Green Card holders) and Visa holders are not eligible.

ADVANCED DEGREE REQUIRED.

Applicants must possess a M.S. or Ph.D. in a relevant technical field (Acoustics, EE, Physics, or CS). Applications without a graduate-level technical degree will not be reviewed.

THIS IS A PRACTITIONER ROLE.

We are not seeking "Executives" or "Project Managers." You will be expected to formulate the math and write the code that implements it.

Position Description:

ARiA is seeking Applied R&D Scientists/Engineers who are motivated by technical autonomy and mission impact. We are looking for low-ego/high-agency professionals. This means you have the confidence to defend a novel algorithm in a room of peers , but the resilience to scrap it and start over if the data or your peer prove you wrong. It means you are comfortable having the authority to change an existing process, but the humility to change again when someone else on the team has a better idea. Our commitment is to the excellence of the team, not our own ideas. We are excellent so the whole team wins and the mission is accomplished. If you prioritize your success or relative status in an organizational hierarchy over the team winning and accomplishign the mission, don't apply. If you need a slow-paced, low-intensity routine to function, this is the wrong environment for you. We pay salaries that are at or above market and systematically reward performance, but at ARiA we do it for love, not money. Our approach to work is grounded in respect for the fully orbed and differentiated responsibiliites every employee has life, but we want people who would still be doing this work if they didn't need to work. Success at ARiA requires the maturity to self-supervise in a fast-paced R&D environment and the grit to push a prototype through the last mile of field integration. We solve ugly problems where data are sparse, hardware is legacy, and the environment is unforgiving. You aren't just writing code; you are implementing numerical-simulation, machine-learning, and signal-processing algorithms that must survive in real-world environments. We seek individuals who view a technical roadblock as a puzzle to be solved, not a reason to stop. As an Applied R&D Scientist/Engineer you will have the unique opportunity to work on projects that span from applied research efforts through to development of prototype solutions while working in close coordination with other ARiA scientists and engineers to design, develop, and test: numerical-simulation algorithms and software implementations, scientific-visualization algorithms and software implementations, machine-learning algorithms and software implementations, and signal-processing algorithms and software implementations in support of prototypes and products such as training tools integrated with real-time physics-based simulation and machine learning(ML)/artificial intelligence (AI) tools integrated with tactical systems.

Core Responsibilities:

End-to-End Problem Ownership:

Translate raw research concepts into robust, field-ready software. You are responsible for the logic, the implementation, and the ultimate performance of the system. We do not believe in micromanagement. We provide the mission and the resources; you provide the path to the solution and the discipline to meet the standard. You will be held accountable to deliver to that standard.

Algorithmic Resilience:

Design, develop, and test algorithms that are "battle-hardened"—capable of functioning in the messy, high-stakes environments of Department of War (DoW) combat systems.

Field Validation:

Work with the software team to shepard your work through field integration into combat systems. This requires the maturity to troubleshoot in real-time under the gaze of government customers and the resilience to iterate until the mission is successful. You are responsible for ensuring your algorithms survive the transition from the laboratory to a DoW platform.

Sample Tasks:

Design, develop, and help deploy cloud-deployed software tools for data-analysis and AI assurance that will be part of a new AI platform to be used across the DoW Develop novel neural-network based detection and classification methods and algorithms for sonar signal and information processing to be integrated in Navy combat systems Conduct research using deep learning and numerical scattering models to understand the relevant physical features in acoustic scattering data for use in a project on remediating underwater sites contaminated by unexploded ordnance

Requirements:

Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information. Master's degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.) Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python Exceptional ability and desire to acquire new knowledge and skills to solve challenges A track record of taking a project from concept to delivery with minimal oversight, including examples of overcoming significant technical or resource-based setbacks. Ability to manage multiple projects in a fast-paced professional office environment Ability to communicate technical solutions to colleagues and customers Superior oral and written communications skills

Desirable Skills, Qualifications, and Experience:

Knowledge of and experience with signal processing for Navy sonar systems 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

Job Type:

Full-time Pay:

$125,000.00

• $225,000.

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?

Education:

Doctorate (Preferred)

License/Certification:

U.S. citizenship (Required) Security clearance: Secret (Preferred)

Work Location:

In person Applied Research and Development (R D)

Scientist/Engineer:

Signal Processing and Machine Learning Madison, VA 22727 $125,000

• $225,000 a year
• Full-time $125,000
• $225,000 a year
• Full-time Applied Research and Development (R D)

Scientist/Engineer:

Signal Processing and Machine Learning (Individual Contributor) ARiA is a specialized research and development (R D) firm where advanced mathematics and machine learning meet real-world deployment. We apply interdisciplinary expertise in acoustics, signal processing, and computational modeling to solve high-consequence challenges that larger, more bureaucratic organizations are often unable to address. At ARiA, we don't just produce research; we build the technical engines that power the next generation of defense and commercial systems. As a lean, 20-person firm, ARiA operates in an environment of extreme accountability. There is no middle management and no paper-only roles. Everyone on the team has autonomy and commensurate responsibility to the team and the mission. We seek individuals who thrive on total ownership of a problem—from the initial whiteboard concept to the final field integration. Whether you are collaborating with the Army on AI assurance or helping Navy leaders transform sonar training through high-fidelity simulation, you are expected to be the primary driver of your mission. We are a small business where making a difference means being part of the team responsible for the solution.

ARiA:

Real Research. Real World.

TM For more information, visit www.ariacoustics.com.

U.S. CITIZENSHIP IS REQUIRED.

This position supports Department of War (DoW) combat systems and requires eligibility for a security clearance. Permanent Residents (Green Card holders) and Visa holders are not eligible.

ADVANCED DEGREE REQUIRED.

Applicants must possess a M.S. or Ph.D. in a relevant technical field (Acoustics, EE, Physics, or CS). Applications without a graduate-level technical degree will not be reviewed.

THIS IS A PRACTITIONER ROLE.

We are not seeking "Executives" or "Project Managers." You will be expected to formulate the math and write the code that implements it.

Position Description:

ARiA is seeking Applied R D Scientists/Engineers who are motivated by technical autonomy and mission impact. We are looking for low-ego/high-agency professionals. This means you have the confidence to defend a novel algorithm in a room of peers , but the resilience to scrap it and start over if the data or your peer prove you wrong. It means you are comfortable having the authority to change an existing process, but the humility to change again when someone else on the team has a better idea. Our commitment is to the excellence of the team, not our own ideas. We are excellent so the whole team wins and the mission is accomplished. If you prioritize your success or relative status in an organizational hierarchy over the team winning and accomplishign the mission, don't apply. If you need a slow-paced, low-intensity routine to function, this is the wrong environment for you. We pay salaries that are at or above market and systematically reward performance, but at ARiA we do it for love, not money. Our approach to work is grounded in respect for the fully orbed and differentiated responsibiliites every employee has life, but we want people who would still be doing this work if they didn't need to work. Success at ARiA requires the maturity to self-supervise in a fast-paced R D environment and the grit to push a prototype through the last mile of field integration. We solve ugly problems where data are sparse, hardware is legacy, and the environment is unforgiving. You aren't just writing code; you are implementing numerical-simulation, machine-learning, and signal-processing algorithms that must survive in real-world environments. We seek individuals who view a technical roadblock as a puzzle to be solved, not a reason to stop. As an Applied R D Scientist/Engineer you will have the unique opportunity to work on projects that span from applied research efforts through to development of prototype solutions while working in close coordination with other ARiA scientists and engineers to design, develop, and test: numerical-simulation algorithms and software implementations, scientific-visualization algorithms and software implementations, machine-learning algorithms and software implementations, and signal-processing algorithms and software implementations in support of prototypes and products such as training tools integrated with real-time physics-based simulation and machine learning(ML)/artificial intelligence (AI) tools integrated with tactical systems.

Core Responsibilities:

End-to-End Problem Ownership:

Translate raw research concepts into robust, field-ready software. You are responsible for the logic, the implementation, and the ultimate performance of the system. We do not believe in micromanagement. We provide the mission and the resources; you provide the path to the solution and the discipline to meet the standard. You will be held accountable to deliver to that standard.

Algorithmic Resilience:

Design, develop, and test algorithms that are "battle-hardened"—capable of functioning in the messy, high-stakes environments of Department of War (DoW) combat systems.

Field Validation:

Work with the software team to shepard your work through field integration into combat systems. This requires the maturity to troubleshoot in real-time under the gaze of government customers and the resilience to iterate until the mission is successful. You are responsible for ensuring your algorithms survive the transition from the laboratory to a DoW platform.

Sample Tasks:

Design, develop, and help deploy cloud-deployed software tools for data-analysis and AI assurance that will be part of a new AI platform to be used across the DoW Develop novel neural-network based detection and classification methods and algorithms for sonar signal and information processing to be integrated in Navy combat systems Conduct research using deep learning and numerical scattering models to understand the relevant physical features in acoustic scattering data for use in a project on remediating underwater sites contaminated by unexploded ordnance

Requirements:

Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information. Master's degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.) Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python Exceptional ability and desire to acquire new knowledge and skills to solve challenges A track record of taking a project from concept to delivery with minimal oversight, including examples of overcoming significant technical or resource-based setbacks. Ability to manage multiple projects in a fast-paced professional office environment Ability to communicate technical solutions to colleagues and customers Superior oral and written communications skills

Desirable Skills, Qualifications, and Experience:

Knowledge of and experience with signal processing for Navy sonar systems 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

Job Type:

Full-time Pay:

$125,000.00

• $225,000.

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?

Education:

Doctorate (Preferred)

License/Certification:

U.S. citizenship (Required) Security clearance: Secret (Preferred)

Work Location:

In person