Edge AI/Model Optimization Engineer
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Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Artificial Intelligence, or related technical discipline.
- 5+ years of experience supporting AI/ML deployment, model optimization, edge computing, GPU acceleration, or AI inference operations.
- Experience deploying and optimizing LLMs, embedding models, or AI inference pipelines within resource-constrained or edge-compute environments.
- Experience with GPU-enabled systems and inference optimization technologies such as CUDA, TensorRT, ONNX Runtime, vLLM, Ollama, or equivalent platforms.
- Experience tuning AI runtime configurations including quantization, batching, caching, and memory optimization techniques.
- Experience benchmarking AI models and operational workflows against hardware performance constraints.
- Experience with Linux-based systems, containerized deployments, and orchestration technologies such as Docker and Kubernetes.
- Familiarity with Python and AI/ML deployment frameworks commonly used for edge inference and operational AI systems.
- Strong analytical, troubleshooting, and performance optimization skills.
- Ability to communicate technical findings and operational tradeoffs effectively to technical and non-technical stakeholders.
- Active Security Clearance is required
Additional Information
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within edge and tactical computing environments. This role focuses on evaluating, tuning, benchmarking, and operationalizing Large Language Models (LLMs), embedding models, and AI inference services for constrained hardware platforms, including the X9 Spider Mission Computer architecture and other edge compute systems supporting operational missions using ReadiChat. ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace. The ideal candidate will possess expertise in AI model optimization, GPU-enabled edge computing, runtime performance tuning, and operational AI deployment. This role requires close collaboration with AI engineers, systems integrators, mission stakeholders, and operational users to ensure AI-enabled capabilities remain performant, reliable, and mission-effective within disconnected, degraded, intermittent, and low-bandwidth environments. About NextGen: NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client's organizational performance. We have established and foster a corporate culture where we: Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure. Communicate the importance of our mission and our employees' contributions to it, ensuring they understand how their job role contributes to the greater good. Openly promote and communicate our ideas for change and adaptability. Strive to achieve results as an organization. Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors. Value the talents and contributions of our employees as the key factor for our success. Create an environment where people can engage at all levels. Encourage people to take risks and allow them to make mistakes. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. RefID: A01
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