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Senior Embedded AI Engineer
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Hydrogen Group
Cedar Rapids, IA (In Person)
Full-Time
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Job Description
Primary Responsibilities Develop and maintain embedded software for aircraft-based systems and mission-critical applications. Translate system-level and functional requirements into detailed software designs and implementation plans. Participate in software architecture, coding, integration, and verification activities throughout the development lifecycle. Support testing efforts, including integration, validation, troubleshooting, and defect resolution. Work closely with multidisciplinary engineering teams to deliver high-quality software solutions. Contribute to planning, estimation, risk assessment, and technical decision-making activities. Identify opportunities to improve development processes, software quality, and overall system performance. Operate within an Agile development framework while supporting project milestones and delivery objectives. Support the development and integration of AI-enabled capabilities, including autonomous workflows, intelligent decision support, and advanced automation features. Collaborate with software, systems, and AI engineering teams to integrate large language models (LLMs), machine learning services, or agent-based technologies into larger system architectures. Assist with the design and implementation of agentic AI workflows involving task orchestration, tool integration, reasoning pipelines, and automated decision processes. Evaluate AI system performance, reliability, and scalability within regulated or mission-critical environments. Required Experience Bachelor's degree or higher in Software Engineering, Computer Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, or a related technical discipline. Minimum of 5 years of professional experience developing embedded software solutions. Proficiency with one or more programming languages such as C, C++, Python, or Ada. Experience developing software for regulated or safety-critical environments. Familiarity with structured software development methodologies, requirements-driven design, and verification processes. Experience participating in Agile-based software development teams. Strong analytical, debugging, and problem-solving capabilities. Experience supporting AI-driven software initiatives, intelligent automation projects, or machine learning-enabled applications. Working knowledge of modern AI frameworks, APIs, orchestration platforms, or agent-based architectures. Experience integrating external tools, services, or data sources into AI-powered workflows. Desired Background Experience supporting aerospace, aviation, defense, or other high-reliability industries. Exposure to aircraft guidance, navigation, mission systems, or other real-time embedded platforms. Familiarity with industry standards governing safety-critical software development and certification activities. Experience performing software integration, validation, and system-level troubleshooting. Hands-on experience with agentic AI frameworks, multi-agent systems, AI orchestration platforms, or autonomous software agents. Experience deploying, monitoring, or optimizing LLM-based applications in production environments. Familiarity with technologies such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, MCP frameworks, vector databases, retrieval-augmented generation (RAG), or related AI ecosystems. Experience building AI-enabled decision-support, autonomy, or intelligent workflow solutions within enterprise or technical environments. This opportunity is well suited for engineers who enjoy working on complex embedded platforms, AI-enabled software systems, and mission-focused technologies where reliability, innovation, and advanced automation capabilities are equally important. ...