Scientific Systems Company, Inc.

HQ
Woburn
114 Total Employees
Year Founded: 1976

Jobs at Scientific Systems Company, Inc.

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2 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and integrate autonomy software for AI-enabled robotics and uncrewed systems. Responsibilities include Agile development, DevSecOps, CI/CD integration, software testing, modeling and simulation, application migrations, documentation, code reviews, architecture design, and integration with DoD-standard interfaces. The role supports autonomy programs, customer interactions, technical requirements alignment, and software development in modern Linux-based environments.
2 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Conduct collaborative research, data analysis, and software engineering for mission autonomy systems involving persistent world modeling, predictive simulation, and adaptive planning. Develop technical proposal content, document research findings, contribute to publications, and support technical and program objectives. The role requires MATLAB, C++, Python, AI/ML and autonomy software library experience, along with simulation and deployment environment expertise. An active U.S. Department of Defense security clearance must be obtained and maintained.
2 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Leads a small engineering team developing mission autonomy software for strategic decision-making, world modeling, predictive simulation, adaptive planning, and adversarial environments. Serves as a technical and customer-facing subject matter expert, leads proposals and programs, integrates edge-platform software, and advances R&D roadmaps. The role involves robotics algorithms, simulation-based validation, classical and machine-learning autonomy, behavior architectures, mission-log analysis, and occasional travel.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and test production-quality autonomy software for embedded uncrewed multi-vehicle systems and autonomous flight in complex environments. Responsibilities include software architecture, AI/ML and robotic planning integration, unified software architecture development, system integration, technical presentations, and collaboration with multidisciplinary engineering teams. The role may involve occasional travel to remote test events and requires obtaining and maintaining a U.S. Department of Defense security clearance.
15 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Leads product quality and testing for autonomy software and integrated mission systems across multiple unmanned aircraft platforms. Establishes quality strategy, builds and manages QA, test, release, and field service teams, and oversees verification, validation, flight testing, release readiness, QMS compliance, audits, metrics, and continuous improvement. Partners with engineering, program management, field operations, and OEMs to ensure reliable, scalable, mission-ready products.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and test production-quality autonomy software for embedded, multi-vehicle autonomous flight systems and crewed-uncrewed collaboration. Responsibilities include architecting software for complex environments, integrating existing systems into unified architectures, applying AI/ML and robotic planning techniques, and presenting technical results. The role requires collaboration across autonomy, vehicle systems, and systems engineering teams, occasional travel to remote test events, and the ability to obtain and maintain a U.S. DoD security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and document complex autonomy-system architectures using MBSE, SysML, DoDAF, and service-oriented patterns. Establish modeling standards, ontologies, traceability, and toolchain workflows; integrate systems models and verification activities into CI/CD pipelines. Facilitate architecture sessions, support distributed implementations and multi-system integration, and collaborate with software, platform, and integration teams in DevOps environments. Communicate architectural concepts and maintain alignment across technical baselines and program milestones.
17 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Lead a small engineering team developing and integrating mission autonomy software for Group 3–5 unmanned aerial systems. Responsibilities include autonomy technology leadership, edge-platform software integration, robotics algorithm development, simulation-based validation, proposal and contract support, program milestone management, customer interaction, and R&D roadmap collaboration. The role requires occasional travel and the ability to obtain and maintain a U.S. Department of Defense security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Designs, executes, and maintains functional, regression, performance, integration, and safety testing for autonomy software and integrated hardware/software systems. Performs hands-on testing of sensors, onboard systems, ground-control interfaces, and mission workflows; analyzes test data; documents defects; and recommends mitigations. Supports flight tests, manages HIL and simulation environments, collaborates with engineering teams across OEM platforms, and contributes to staffing, scheduling, documentation, and test strategy. The role requires eligibility for a U.S. Department of Defense security clearance.
23 Days AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develops architectures, requirements, interfaces, models, and performance metrics for autonomous and uncrewed systems. Leads MBSE efforts using SysML tools such as Cameo/MagicDraw, supports system design reviews, and performs system integration, testing, modeling, simulation, and analysis with tools such as AFSIM. Acts as a customer-facing architecture liaison, contributes to proposals, and supports aerospace and Department of Defense systems engineering processes. Requires approximately 15% travel and the ability to obtain and maintain an active U.S. DoD security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and maintain modeling and simulation infrastructure to test multi-vehicle autonomy in operational scenarios. Design, implement, simulate, and validate autonomy software (MIL/SIL/digital twin/LVC) using C/C++ and Python on large-scale HPC/distributed simulation environments. Present technical results and support customer engagements; occasional travel and security clearance required.
One Month AgoSaved
In-Office
Burlington, MA, USA
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Design, implement, test, and debug software for robotics/autonomy and related systems. Produce documentation, communicate technical results to stakeholders, resolve issues via testing and troubleshooting, and stay current with industry best practices. Support integration teams and may travel occasionally; must obtain and maintain US DoD security clearance.