Karkidi
Software Developer Architect/System Engineering Advisor - Active Secret Clearanc
Karkidi, Arlington, Virginia, United States, 22201
Naval Special Warfare (NSW) is modernizing its Unmanned Systems (UxS) portfolio by employing advanced technologies such as artificial intelligence (AI), autonomy, and robotics. This includes developing requirements for collaborative autonomy software, informing the enterprise architecture and employment of AI/ML at the tactical edge. The program solutions will provide the software infrastructure and capabilities to meet all responsible AI (RAI) compliance and government accreditation processes for the deployment of software at the speed of relevance and industry best practices. NSW is developing requirements for collaborative autonomy software utilizing AI, machine learning, and enterprise architecture to improve SOF manned/unmanned learning at the tactical edge.Major Duties include:
Assessing the capability of cutting-edge AI powered software solutions to inform the integration of next generation sensors and related technologies in support of NSW requirements.Reviewing applied research for NSW requirements.Reviewing scientific study and experimentation directed toward advancing the state of research and subsystem requirements.Reviewing sensor test and evaluation development.Analyzing and evaluating concepts, technologies, systems and subsystems.Assisting in the development of operational concepts and tactics with the end goal being the application of results to developing new or improving UxS and sensor capabilities.Additional Duties:
Designs and develops software requirements for multiple Artificial Intelligence based products including the software architectures, APIs, frameworks, and libraries (Does not work the actual coding of software requirements).Assess the functionality of front end and backend of software releases, components, and tooling to inform the development process.Maintains and guides the development of common libraries and tools used by multiple teams.Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities.Provides technical guidance to data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions.Documents requirements and specifications and reviews documentation provided by other teams and vendors.Assist in optimizing software designs and architectures to deliver desired performance requirements and recommend tooling and methodologies to monitor execution and capture performance metrics.Stays informed on latest AI system and software architectures and trends from design patterns to DevSecOps and systems architecture patterns.Required Skills/Experience:
Master’s Degree in an information technology-related field (computer science, software engineering, etc.) or 10+ years of software development experience. Less experience is acceptable with very strong relevant skills shown.Proficient technical writing skills.Technical experience in developing, modifying, or integrating software (including models, algorithms, behaviors) at the enterprise level.Technical experience in software delivery with demonstrated ability to integrate with commercial and open-source Continuous Integration/Continuous Deployment and/or Machine Learning Operations (MLOps) platforms.Technical experience working on DevSecOps Pipelines.Technical experience with architecting and delivering successful complex software projects involving multiple modules, Application Programming Interfaces (API), data integration and algorithm stacks.Working knowledge of Agile Software Development.Hands-on experience in developing a Platform as a Service (PaaS).Working knowledge with a set of specific technologies such as:
KubernetesComputer Vision (especially open-source libraries)Linux Kernel driversSoftware Defined Radio (SDR)API gatewaysMachine Learning/Artificial Intelligence (ML/AI) training pipelinesC, C++RustAssembler (ARM, X86)JavaCUDADeveloping compilersOAuth/ or SAMLTLS/SSL
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Assessing the capability of cutting-edge AI powered software solutions to inform the integration of next generation sensors and related technologies in support of NSW requirements.Reviewing applied research for NSW requirements.Reviewing scientific study and experimentation directed toward advancing the state of research and subsystem requirements.Reviewing sensor test and evaluation development.Analyzing and evaluating concepts, technologies, systems and subsystems.Assisting in the development of operational concepts and tactics with the end goal being the application of results to developing new or improving UxS and sensor capabilities.Additional Duties:
Designs and develops software requirements for multiple Artificial Intelligence based products including the software architectures, APIs, frameworks, and libraries (Does not work the actual coding of software requirements).Assess the functionality of front end and backend of software releases, components, and tooling to inform the development process.Maintains and guides the development of common libraries and tools used by multiple teams.Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities.Provides technical guidance to data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions.Documents requirements and specifications and reviews documentation provided by other teams and vendors.Assist in optimizing software designs and architectures to deliver desired performance requirements and recommend tooling and methodologies to monitor execution and capture performance metrics.Stays informed on latest AI system and software architectures and trends from design patterns to DevSecOps and systems architecture patterns.Required Skills/Experience:
Master’s Degree in an information technology-related field (computer science, software engineering, etc.) or 10+ years of software development experience. Less experience is acceptable with very strong relevant skills shown.Proficient technical writing skills.Technical experience in developing, modifying, or integrating software (including models, algorithms, behaviors) at the enterprise level.Technical experience in software delivery with demonstrated ability to integrate with commercial and open-source Continuous Integration/Continuous Deployment and/or Machine Learning Operations (MLOps) platforms.Technical experience working on DevSecOps Pipelines.Technical experience with architecting and delivering successful complex software projects involving multiple modules, Application Programming Interfaces (API), data integration and algorithm stacks.Working knowledge of Agile Software Development.Hands-on experience in developing a Platform as a Service (PaaS).Working knowledge with a set of specific technologies such as:
KubernetesComputer Vision (especially open-source libraries)Linux Kernel driversSoftware Defined Radio (SDR)API gatewaysMachine Learning/Artificial Intelligence (ML/AI) training pipelinesC, C++RustAssembler (ARM, X86)JavaCUDADeveloping compilersOAuth/ or SAMLTLS/SSL
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