At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 9 million vehicles on the road today and rapidly expanding.
Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.
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.
About the Role
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.
We are looking for an Embedded AI Engineer to join our Korea Customer Success team and put edge AI into our Korean OEM programs. You will bring up the Fastlane Edge runtime on customer hardware, onboard AI models authored by partners, by the customer and by Sonatus, help customer engineers author their own models with the Sonatus SDK, validate models on real vehicles, and tune Sonatus in-house virtual-sensor models on customer data using our MLOps toolchain. You will act as a technical contact for the customer on edge AI integration topics.
This is a hands-on role for an engineer who is comfortable in a Python training pipeline, inside a Linux container on an automotive ECU, and in a vehicle at a customer test site. Model development is part of the job, but always in service of a customer deliverable.
Duties and Responsibilities
1. 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.
2. 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.
3. 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…