NextGen Federal Systems
Edge AI/Model Optimization Engineer
Aberdeen, Maryland
No sponsorshipDetected 61 days ago
PythonDockerCI/CDLinuxMachine LearningData ScienceLLMsAgentic AIAI OrchestrationElectrical EngineeringCollaboration
About the role
- 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.
- Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
Responsibilities
- Tune and optimize AI model runtime configurations for edge deployment, including quantization strategies, batching configurations, context window sizing, cache behavior, inference scheduling, and GPU memory utilization specific to operational edge hardware environments.
- Collaborate with customer stakeholders to assess mission requirements and evaluate alternative edge compute platforms when operational demands exceed X9 Spider capabilities or when cost, performance, power, size, weight, or thermal tradeoffs require additional analysis.
- Build and maintain repeatable performance and stress-testing frameworks for evaluating latency, throughput, tool-call overhead, failover behavior, degraded-resource conditions, and disconnected operational scenarios on edge compute platforms.
- Package, deploy, validate, and sustain local model-serving components and inference services to support reliable operation within tactical and edge environments.
- Collaborate with agent engineers, AI developers, and integration teams to validate that agent behavior, workflow reliability, and operational outcomes remain acceptable following model compression, quantization, runtime optimization, or hardware configuration changes.
- Support deployment, troubleshooting, optimization, and sustainment activities for AI-enabled applications operating in edge, airborne, tactical, or disconnected operational environments.
- Maintain technical documentation, benchmarking results, model validation reports, deployment procedures, optimization baselines, configuration guides, and operational support materials.
- Support DevSecOps and CI/CD activities associated with AI model packaging, deployment automation, runtime validation, and operational release processes.
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.
- Ability to communicate technical findings and operational tradeoffs effectively to technical and non-technical stakeholders.
- Active Security Clearance is required
Company info
- 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.
- NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services.
Equal opportunity
- Employer/Protected Veterans/Individuals with Disabilities.
- RefID: A01
Visa & Work Authorization
- Active Security Clearance is required
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This listing is sourced directly from NextGen Federal Systems's careers page and normalized into a canonical job model.