Edge AI Engineer for Production Systems

Armada; Bellevue, Northern (WA, KY); Hybrid; USD 155,000 - 193,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision insurance

401(k) and Roth 401(k)

PTO and company holidays

Job summary

Armada is hiring exceptional AI engineers to build and deploy intelligent systems at the edge. You will develop production AI for offshore platforms, remote facilities, and distributed sensors, addressing intermittent connectivity and strict latency constraints.

You may work across multimodal and generative AI, real-time vision, NLP, robotics, and distributed AI inference, owning the lifecycle from data prep to production deployment.

Qualifications

• Master's or PhD in applied mathematics, computer science, computational science, engineering, or related field.
• 3+ years of industry AI research, ML, and production software development.
• Strong programming in Python; proficient in Java/C++ or similar production language.
• Hands-on experience with ML/DL, NLP, and modern neural architectures.

Responsibilities

• Translate operational problems into AI requirements, data, and production architectures.
• Design, train, fine-tune, and deploy models for vision, language, multimodal AI, and time-series analysis.
• Apply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.
• Build training/evaluation datasets from video, images, text, telemetry, and sensor data.
• Evaluate models for accuracy, latency, throughput, robustness, safety, and efficiency.
• Deploy containerized AI workloads across Kubernetes, cloud, on-premises, and edge environments.
• Build pipelines for model monitoring, data validation, drift detection, and retraining.

Skills

Python

Java/C++

ML/DL/NLP

Transformers/LLMs

PyTorch/TF/JAX

CI/CD & MLOps

GPU/Edge AI

Education

Master's or PhD in a technical field

Tools

Kubernetes

TensorRT/Triton/ONNX Runtime

CUDA

Job description

Armada is hiring exceptional AI engineers to build and deploy intelligent systems at the edge. You will develop production AI for offshore platforms, remote facilities, and distributed sensors, addressing intermittent connectivity and strict latency constraints.

You may work across multimodal and generative AI, real-time vision, NLP, robotics, and distributed AI inference, owning the lifecycle from data prep to production deployment.