Senior Embedded AI Engineer

Sonatus, Seoul, South Korea +1

The role

Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan and Japan. This is a hybrid position at our Pangyo location. You will report to the Engineering Director.

Sonatus is bringing production-grade AI to the vehicle edge with Fastlane™ Edge, the in-vehicle AI runtime that lets OEMs deploy, run, monitor and update AI models, virtual sensors and diagnostic logic on existing vehicle computers. Our Customer Success organization operates as Mission-Driven Squads that take full end-to-end ownership of a module, from implementation to verification to on-site support.

What you will do

Edge AI Runtime Integration on Customer Hardware
Hardware Bring-Up: Bring up and maintain Fastlane Edge on customer targets — Sonatus gateway units (Fastlane Copilot) and customer control units — including CAN/CAN-FD bring-up, DBC/ARXML integration, sandbox and Python-runtime deployment, security-policy adjustments and cloud connectivity.
SDK Integration: Integrate the runtime with customer platforms via the Sonatus Southbound SDK where direct bus access is not available.
Runbook Ownership: Maintain the Korea integration runbooks and default configurations; work with the platform team to turn one-off demo fixes into mergeable, released code.
AI Model Onboarding and Validation
Model Packaging: Validate, package and deploy AI model bundles from partners, from customer engineers and from Sonatus using the Sonatus ADK: input-signal mapping, sampling and output schema review, dependency checks, resource budgets and OTA deployment through the Sonatus Cloud.
Concurrency Verification: Verify multi-model concurrency on a single ECU within agreed CPU/RAM envelopes; measure and document per-model resource profiles and telemetry policies.
Native Porting & Optimization: Migrate Python-developed models to production-ready native (C++/ONNX Runtime) bundles, including model conversion, native integration and optimization, with automated numerical-parity validation against reference implementations.
Customer Enablement
Training & Office Hours: Deliver SDK/ADK training and office hours in Korean for customer engineers authoring their own models; support model-contract (config.yml) authoring and signal-to-input mapping from customer network databases.
Requirements Capture: Help capture customer AI workload requirements (use case, signals, rates, accuracy/latency targets, resource and data-sovereignty constraints) and document them for Sonatus product teams.
Documentation as Code: Treat documentation as code: integration guides, troubleshooting FAQs and release notes in Korean and English.
Model Development and Tuning on Customer Data
MLOps Toolchain: Run customer vehicle captures through the Sonatus MLOps toolchain: data ingest and alignment, recipe-driven training, model-family A/B comparison (gradient boosting, temporal convolutional and physics-informed models), ONNX export, quantization and on-target latency measurement.
Virtual-Sensor Tuning: Tune Sonatus virtual-sensor and estimation models on customer drives and deliver them as validated bundles with customer-facing reports.
Ground Truth & Datasets: Define ground-truth capture (reference sensors, co-logging) and dataset versioning; contribute fixes and hardening upstream to the toolchain.
On-Vehicle Validation, Demos and Customer Support
Validation Drives: Execute on-vehicle validation and comparison drives; contribute to acceptance criteria and shadow-mode protocols with the customer and Sonatus QA; produce traceable test evidence and, where required, ASPICE v4 MLE artifacts.
On-Site Support: Support major test events and demos on-site, troubleshooting integration issues directly in the vehicle or on the bench.
Defect Triage: Act as a technical contact for edge AI integration issues; reproduce, isolate (bundle vs. runtime vs. cloud), and follow customer-found defects through the Sonatus release train.
AI-Augmented Workflow
AI Tooling: Leverage AI tools such as Claude and GitHub Copilot to accelerate recipe authoring, test generation, log analysis and documentation, within customer data-governance constraints.

Senior Embedded AI Engineer

The role

Senior Embedded AI Engineer

The role

What you will do

Nice to have

Korea Office Benefits & Perks Offered

[Essential Background]

[Core Competencies]

About Sonatus

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Sonatus