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ARiA Acoustics

Software Engineer (All Locations)

ARiA Acoustics, Seattle, Washington, us, 98127


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Software Engineer / Senior Software Engineer ARiA applies broad interdisciplinary expertise in acoustics, machine learning, modeling & simulation, and signal processing toward innovative science and engineering research and development for a diverse set of government and corporate clients. Partnering with government, industry, and academia, ARiA solves critical challenges. ARiA is a small business where you can make a big difference. ARiA is looking for highly motivated self-starters and low-ego team players to join our team as Software Engineers and Senior Software Engineers. These positions are an opportunity to join a rapidly growing firm where you will engage deeply in challenging problems while developing cutting-edge technologies that address crucial needs. Strong candidates for these roles at ARiA must value excellence and work with confidence, but without ego. Our engineers and scientists all have deep knowledge and exercise a high degree of leadership in their daily work. Members of the ARiA team have strongly-held, defensible ideas and advocate for what they believe is right, but are quick to exercise intellectual humility and acknowledge that they can often be wrong. Successful employees of ARiA are adept at working closely and collaboratively with team members and identifying and evaluating trade-offs when developing solutions. As a Software Engineer / Senior Software Engineer you will perform a variety of software engineering tasks working in close coordination with other ARiA scientists and engineers including design, development, and testing of: numerical-simulation software, scientific-visualization software, machine-learning software. to support prototypes and products such as training tools integrated with real-time physics-based simulation and AI tools integrated with tactical systems. Responsibilities: Algorithm and software design, development, research, and testing to support prototypes and products. Supporting the transition of research algorithms to fielded systems. Preparing documentation to summarize design and status of prototypes and products. Assisting with in-field integration, testing, and support, with some local travel required. Developing an interface between a C++ underwater-acoustics physics engine and a video game for education and training. Developing algorithms and software for a cloud-deployed cognitive tool that allows natural-language query of legal documents to answer user questions about government regulations and supporting the DevOps process for deployment of the prototype. 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. Bachelor’s degree or greater in a relevant technical field (Computer Science, Engineering, or equivalent). Expertise developing and deploying software in an agile, continuous-integration (CI) framework across a variety of hardware platforms (desktop, server, cloud) using modern tools including containerization (e.g., Docker, Kubernetes). Exceptional ability and desire to acquire new knowledge and skills to solve challenges. Ability to work independently but collaboratively. 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: Master’s degree or greater in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience. Knowledge of and experience with GPGPU programming (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. Knowledge of and experience with natural-language-processing and/or information retrieval. 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).

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