Senior AI Engineer (Edge Dialog Systems)
Core
Design and maintain on-device conversational AI for industrial safety wearables, guiding field technicians through safety-critical procedures under strict latency, memory, and thermal constraints.
Role type
Senior IC Edge Dialog Systems Engineer
Builds
On-device conversational AI pipeline for safety-critical industrial wearables
Domain
Industrial safety / Edge AI / Embedded Systems
Deliverable
production ML models
Required skills
NLU, small language models (SLM), embedded software, deterministic safety layers, intent routing, hybrid intent classification, text normalization, multi-step guided-procedure engines, SLM inference optimization, model quantization, ONNX, Linux, Docker, CI/CD, Python, pytest, Git
Preferred skills
SLM fine-tuning (LoRA, QLoRA), latency/footprint optimization, multilingual NLU, industrial safety-critical product experience, agentic tooling (MCP)
Technologies
ONNX, onnxruntime, aarch64, Linux, Docker, adb, systemd, pytest, Git
Responsibilities
Own the on-device dialog pipeline end-to-end including intent routing and multi-step guided-procedure engines; Maintain deterministic safety layers with confirmation gating and negation handling; Run SLM inference on constrained hardware under latency and memory budgets; Preserve zero-shot configuration models for rapid customer onboarding; Coordinate device deployment pipelines; Define and run on-device benchmarks for latency and accuracy; Build golden datasets and non-regression suites; Lead migration from zero-shot to fine-tuned on-device models; Collaborate with product, firmware, and cloud teams to onboard new languages and workflows.
Seniority
Senior, hands-on IC
