Drimva

Armada

AI Engineer

$155K–$193K

Bellevue Office, Sunset Corporate Campus +1 · Full-time · Posted Aug 10, 2026

Location
Bellevue Office, Sunset Corporate Campus
Bellevue, Washington, United States
Experience
3+ years of industry experience in AI research, machine learning, and production software development.
Education
Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.

About the job

Build, optimize, deploy, and maintain production AI systems for edge environments, spanning the AI lifecycle from problem definition and data preparation to monitoring and continuous improvement.

What you'll do

  • Translate operational problems into AI requirements, datasets, evaluation criteria, and production architectures; develop and evaluate models.
  • Optimize and deploy resilient, containerized AI services across GPUs, Kubernetes, cloud, on-premises, and disconnected edge environments.
  • Build monitoring, validation, drift-detection, and retraining pipelines, and collaborate to move prototypes into production.

What they ask for

  • Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.
  • 3+ years of industry experience in AI research, machine learning, and production software development.
  • Strong Python skills and proficiency in Java, C++, or another production language.
  • Hands-on experience with statistical machine learning, deep learning, and natural language processing; experience deploying models beyond research prototypes.

Nice to have

  • Production AI deployment on GPUs, edge servers, embedded accelerators, robotics platforms, or distributed infrastructure.
  • Experience with inference technologies such as TensorRT, Triton Inference Server, ONNX Runtime, vLLM, or CUDA.

Pay

$154,560 — $193,200 USD (base salary)

Tools

Python, Java, C++, PyTorch, TensorFlow, JAX, Kubernetes, TensorRT

AI focus

Production AI for edge environments, including vision, language, multimodal AI, time-series analysis, autonomy, and optimization.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)