Edge AI Engineer: Deployable, Real-World ML

Armada; Bellevue (WA); On-site; USD 155,000 - 193,000; Full time

Benefits offered by this job

Equity

Medical benefits

401(k) plan

Unlimited PTO

HSA eligibility

Job summary

Armada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world. You will develop production AI for offshore energy platforms, remote mines, defense installations, transportation networks, and more.

Role spans multimodal AI, real-time vision, language models, robotics, and distributed AI inference. Candidates should have 3+ years in industry and strong software engineering discipline.

Qualifications

• Advanced degree in a technical field; research/publications preferred.
• 3+ years of AI research and production software development.
• Strong Python programming; production language knowledge (Java/C++).
• Experience with modern neural architectures and DL frameworks.
• Experience deploying AI on GPUs, edge, or distributed infrastructure.

Responsibilities

• Translate operational problems into AI requirements and production architectures.
• Design, train, fine-tune, and deploy models for vision, language, multimodal AI, and time-series.
• Apply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.
• Build training and evaluation datasets from diverse data sources.
• Deploy containerized AI workloads across Kubernetes and edge environments.
• Partner with customers and teams to move prototypes into production.

Skills

Python

Java

C++

Deep learning

PyTorch

Kubernetes

MLOps

Education

Master's or PhD in a technical field

Tools

TensorFlow

JAX

CUDA

ONNX Runtime

Triton Inference Server

Job description

Armada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world. You will develop production AI for offshore energy platforms, remote mines, defense installations, transportation networks, and more.

Role spans multimodal AI, real-time vision, language models, robotics, and distributed AI inference. Candidates should have 3+ years in industry and strong software engineering discipline.