Assured Information Security (AIS) is looking for talented Software Engineers to join our Cyber AI team. AIS’s Cyber AI team develops and delivers cutting-edge AI/ML, Cyber and Intelligence capabilities. We’re looking to hire engineers at different experience levels.
*These onsite positions can be located in either Rome, NY or Catonsville, MD*
Software Engineer I (0-2 years experience)
Role Focus: Engineering and research support across software development, AI/ML integration, sensor data handling, and edge-focused systems.
Core Responsibilities May Include:
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Support development of modular, open system components and standardized interfaces.
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Assist with containerization workflows (Docker, Kubernetes, lightweight edge containers).
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Implement, test, and troubleshoot components of resilient server-to-edge or distributed networking frameworks.
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Contribute to integration of sensor data pipelines (visual, radar, RF, acoustic, etc.).
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Help optimize AI/ML models for constrained computing environments (e.g., embedded GPUs/NPUs).
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Participate in demonstrations, documentation, and regular code deliveries per program milestones.
Required Skills
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Familiarity with Python, C++, Linux development environments.
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Basic understanding of ML frameworks (PyTorch, TensorFlow).
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Exposure to sensor processing or embedded systems is a plus.
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Ability to work with APIs, data serialization formats (JSON, protobuf), and real-time data streams.
Education / Experience
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Bachelor's degree in Computer Science, Computer Engineering, Math, Physics or related field.
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0–2 years’ experience OR equivalent combination of education and experience.
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Software Engineer II (2+ years experience)
Role Focus: Research and develop features or subsystems related to sensing, AI reasoning, distributed compute, and edge system optimization.
Core Responsibilities May Include
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Lead implementation of elements of the program's foundational system architecture (compute, networking, trusted processing, APIs).
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Design and implement multimodal sensor fusion pipelines for real-time or near-real-time inference.
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Extend and integrate AI/ML models, including LLM-based or agentic reasoning components, into the Intelligence Engine.
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Build and tune inference pipelines for embedded or resource-constrained devices (GPU/CPU/NPU optimization, quantization, batching, caching).
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Contribute to design improvements for system robustness in degraded or intermittent network conditions.
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Deliver subsystem documentation, contribute to technical reviews, and support integration/field testing events.
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Provide mentorship to E1 engineers and help enforce engineering standards.
Required Skills
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Strong proficiency in software engineering and systems integration.
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Experience with ML model deployment or optimization.
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Understanding of distributed systems, high-performance edge computing, or embedded platforms.
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Familiarity with retrieval pipelines, vector databases, or multimodal AI processing is a plus.
Education / Experience
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Bachelor's degree in Computer Science, Computer Engineering, Math, Physics or related field.
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2+ years’ experience OR equivalent combination of education and experience.
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Software Engineer III (5+ years’ experience)
Role Focus: Lead technical development of major subsystems, drive architectural decisions, integrate advanced AI reasoning and multimodal sensing, and ensure reliable operation in real-world environments.
Core Responsibilities May Include
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Define and lead architecture for major components of an end-to-end framework.
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Oversee integration of multimodal sensing, real-time reasoning, structured decision logic, and data-driven analytics into a unified operational pipeline.
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Lead design and implementation of agentic/LLM-based reasoning frameworks (planner/executor, structured memory, context management).
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Architect highly efficient edge-execution profiles, including computer pipeline tuning, model restructuring, and throughput-latency optimization.
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Direct laboratory, hardware-in-the-loop, and field-relevant integration/testing cycles.
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Collaborate with program stakeholders, contribute to system architecture deliverables, and ensure compliance with engineering milestones.
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Provide technical leadership, mentorship, and guidance across the engineering team.
Required Skills
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Deep expertise in ML/AI systems, multimodal fusion, or autonomous decision-support systems.
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Strong background in systems architecture, distributed computers, or real-time embedded inference.
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Experience leading engineering teams and managing complex integration efforts.
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Ability to shape long-term system evolution and communicate architectural decisions effectively.
Education / Experience
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Bachelor's degree in Computer Science, Computer Engineering, Math, Physics or related field.
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5 years’ experience OR equivalent combination of education and experience.
AA / Disability / Veteran
US Salary Range: $88,000 - $158,000
The salary offered to a selected candidate will be based on several factors including location, skills, and experience. In addition to a comprehensive benefits package which includes employer paid health insurance and a 7% contribution to your 401k, candidates may be eligible for other forms of compensation.
AIS is a leading cyber and information security company supporting mission critical operations across the DoD, intelligence community, commerce and beyond. Founded in 2001, AIS is a privately-owned company committed to excellence in all facets. We pride ourselves on offering some of the best benefits seen in the industry. We celebrate the unique backgrounds and experiences of our people and encourage new ideas, innovation, and the autonomy to create the future and career they want with our support.
