Software Engineer
About The Position
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 are located at our headquarters in Rome, NY. 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. 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. 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.
Requirements
- Familiarity with Python, C++, Linux development environments.
- Basic understanding of ML frameworks (PyTorch, TensorFlow).
- Ability to work with APIs, data serialization formats (JSON, protobuf), and real-time data streams.
- Strong proficiency in software engineering and systems integration.
- Experience with ML model deployment or optimization.
- Understanding of distributed systems, high-performance edge computing, or embedded platforms.
- Deep expertise in ML/AI systems, multimodal fusion, or autonomous decision-support systems.
- Strong background in systems architecture, distributed computers, or real-time embedded inference.
- Experience leading engineering teams and managing complex integration efforts.
- Ability to shape long-term system evolution and communicate architectural decisions effectively.
Nice To Haves
- Exposure to sensor processing or embedded systems is a plus.
- Familiarity with retrieval pipelines, vector databases, or multimodal AI processing is a plus.
Responsibilities
- Support development of modular, open system components and standardized interfaces.
- Assist with containerization workflows (Docker, Kubernetes, lightweight edge containers).
- Implement, test, and troubleshoot components of resilient server-to-edge or distributed networking frameworks.
- Contribute to integration of sensor data pipelines (visual, radar, RF, acoustic, etc.).
- Help optimize AI/ML models for constrained computing environments (e.g., embedded GPUs/NPUs).
- Participate in demonstrations, documentation, and regular code deliveries per program milestones.
- Lead implementation of elements of the program's foundational system architecture (compute, networking, trusted processing, APIs).
- Design and implement multimodal sensor fusion pipelines for real-time or near-real-time inference.
- Extend and integrate AI/ML models, including LLM-based or agentic reasoning components, into the Intelligence Engine.
- Build and tune inference pipelines for embedded or resource-constrained devices (GPU/CPU/NPU optimization, quantization, batching, caching).
- Contribute to design improvements for system robustness in degraded or intermittent network conditions.
- Deliver subsystem documentation, contribute to technical reviews, and support integration/field testing events.
- Provide mentorship to E1 engineers and help enforce engineering standards.
- Define and lead architecture for major components of an end-to-end framework.
- Oversee integration of multimodal sensing, real-time reasoning, structured decision logic, and data-driven analytics into a unified operational pipeline.
- Lead design and implementation of agentic/LLM-based reasoning frameworks (planner/executor, structured memory, context management).
- Architect highly efficient edge-execution profiles, including computer pipeline tuning, model restructuring, and throughput-latency optimization.
- Direct laboratory, hardware-in-the-loop, and field-relevant integration/testing cycles.
- Collaborate with program stakeholders, contribute to system architecture deliverables, and ensure compliance with engineering milestones.
- Provide technical leadership, mentorship, and guidance across the engineering team.
Benefits
- employer paid health insurance
- 7% contribution to your 401k
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
