Edge AI Engineer: LLMs & Model Optimization

NextGen Federal Systems; Aberdeen (MD); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

NextGen Federal Systems in Maryland is seeking a highly motivated Edge AI/Model Optimization Engineer to support the deployment and optimization of AI capabilities. This role requires expertise in AI model optimization, GPU-enabled edge computing, and collaborative development to ensure AI performance in tactical environments.

The ideal candidate will have a Bachelor's degree in a relevant field and 5+ years of experience in AI/ML deployment and operational AI capabilities. The position provides unique challenges and opportunities to work with cutting-edge technology in mission-critical settings.

Qualifications

• 5+ years of experience in AI/ML deployment and model optimization.
• Experience with GPU-enabled edge computing systems.
• Familiarity with Python and AI/ML deployment frameworks.

Responsibilities

• Evaluate and tune Large Language Models (LLMs) for edge platforms.
• Collaborate with stakeholders to assess mission requirements.
• Benchmark AI workflows against hardware performance thresholds.

Skills

AI model optimization

GPU acceleration

Benchmarking

Troubleshooting

Performance optimization

Education

Bachelor’s degree in a related technical discipline

Tools

CUDA

TensorRT

Docker

Kubernetes

Job description

NextGen Federal Systems in Maryland is seeking a highly motivated Edge AI/Model Optimization Engineer to support the deployment and optimization of AI capabilities. This role requires expertise in AI model optimization, GPU-enabled edge computing, and collaborative development to ensure AI performance in tactical environments.

The ideal candidate will have a Bachelor's degree in a relevant field and 5+ years of experience in AI/ML deployment and operational AI capabilities. The position provides unique challenges and opportunities to work with cutting-edge technology in mission-critical settings.