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# Android Developer

- **Company:** SGS Consulting
- **Location:** Lexington, MA, United States
- **Contract:** Contract
- **Skills:** Testing (Software), C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Computer-Aided Design, Microsoft Windows, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Android Software Development, Systems Engineering, Arduino, C Sharp (Programming Language), C++ (Programming Language), Static Program Analysis, Cognitive Science, Computer Simulation, Relational Databases, Software Debugging, Graphical User Interface, Design of User Interfaces, Imaging Technology, JSON, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Language Modeling, MySQL, Object-Oriented Software Development, Performance Tuning, Program Analysis, Software Prototyping, Raspberry Pi, Scala (Programming Language), Scientific Computating, Signal Processing, Simple Object Access Protocol (SOAP), Software Engineering, SQLite, Systems Integration, Software Technical Review, TypeScript, Web Services, Extensible Markup Language (XML), PIC Microcontroller, Large Language Models, Ios Frameworks, Reliability of Systems, Swift (Programming Language), Kotlin, Information Technology, Legacy Systems
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/a9e8bd16-2dff-4766-b221-4513416de7f3

## About the Role

Building custom Android smartphone applications
Enhancing Windows-based software
Integrating sensors and prototype hardware
Designing software architectures for new research efforts
Successful candidates are comfortable working across the software stack, learning new technologies -quickly, and solving open-ended technical problems in an R&D environment.

Must Have:

Android development
Windows Applications (C++ app development)
Mobile user interface design principles
Mobile user analytics
JSON and XML data formats
Microcontroller (e.g., Arduino, Raspberry PI)
AWS Cloud Computing
On-device ML/LLM deployment experience
Implementing machine learning models and knowledge of ML training
Experience building on-device native binaries for ML/LLM deployments

Nice To Have:

Real-time audio, video, and image processing
Knowledge of C, C++, C#, F#, Java, Kotlin, Scala, Python, Swift
Browser-based user interface development
Healthcare, biomedical knowledge
Agile development process
iOS development
Scientific computing and data analysis
Linux environments and experience with legacy systems
Web Services,
JavaScript,
TypeScript SOAP/REST interfaces
Relational Databases (e.g., SQLite, MySQL, PostgreSQL)

## Description

Full lifecycle application development. Designing, coding and debugging applications in various software languages. Software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis. Object-oriented Design and Analysis (OOA and OOD). Software modeling and simulation. Front end graphical user interface design. Software testing and quality assurance. Performance tuning, improvement, balancing, usability, automation. Supports, maintains and documents software functionality. Integrates software with existing systems. Evaluates and identifies new technologies for implementation. Maintains standards compliance. Implements localization or globalization of software, Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Group develops technologies to enhance military medical capabilities in operational and resource-constrained environments. Our research programs focus on two core areas: medical autonomy and medical imaging. Our medical autonomy efforts develop intelligent, field-deployable technologies that augment medical providers, expand access to advanced care, and enable providers with varying levels of training to perform complex medical tasks. Our medical imaging research combines artificial intelligence with advanced sensing and novel imaging systems to improve the
speed, accuracy, and availability of diagnostic information. Much of our most impactful work integrates these areas, combining intelligent automation and advanced imaging to provide military medical personnel with new capabilities to support military medical providers and personnel in the field and at the point of care.