Senior Embedded AI Engineer

The role

You will bring up the Fastlane Edge runtime on customer hardware and onboard AI models. You will also help customer engineers author models, validate models on real vehicles, and tune virtual-sensor models using an MLOps toolchain.

What you will do

• Bring up and maintain Fastlane Edge on customer targets
• Integrate the runtime with customer platforms via the Sonatus Southbound SDK
• Maintain Korea integration runbooks and default configurations
• Validate, package and deploy AI model bundles
• Verify multi-model concurrency on a single ECU
• Migrate Python-developed models to production-ready native bundles
• Deliver SDK/ADK training and office hours in Korean for customer engineers
• Capture and document customer AI workload requirements
• Run customer vehicle captures through the Sonatus MLOps toolchain
• Tune Sonatus virtual-sensor and estimation models on customer drives

Required qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical/Control Engineering or a related field
• 5+ years of experience in machine learning engineering or embedded software
• 2+ years deploying ML models on edge or embedded Linux targets
• Strong Python
• Ability to read, build and debug modern C++ (C++14/17)
• Solid Linux debugging skills (systemd, processes and logs, containers)
• Hands-on experience working with structured device or bus-level signal data
• ML deployment experience with ONNX/ONNX Runtime and PyTorch or scikit-learn/XGBoost
• Applied modeling experience with time-series or vehicle-signal data
• Experience with reproducible ML pipelines and data tooling such as Parquet, Apache Arrow or DuckDB
• Python test automation and evidence-based triage
• Fluent Korean and professional English

Nice to have

• Master’s degree
• Customer-facing integration, field application or solutions engineering experience
• Exposure to cgroups, sandboxing, seccomp or shared-library/glibc issues
• Familiarity with automotive-specific protocols (DBC/ARXML, UDS, SOME/IP, DLT)
• Exposure to quantization and latency/memory profiling on ARM (aarch64) targets
• Hands-on experience with NXP S32 family / eIQ Auto, Qualcomm SA8xxx / SNPE-QNN, or comparable embedded compute platforms
• Vehicle dynamics, chassis or body control-domain knowledge
• Prior virtual-sensor or sensor-replacement work
• Familiarity with OEM IT and security stacks (Kubernetes, Harbor/Nexus, Kafka, SonarQube/Blackduck, security review processes)
• Awareness of ASPICE v4, ISO 26262 and ISO 21448

Benefits

• Point Reward Program for Customer Integration team
• Support 4 social insurance plans
• Family leave (Maternity, Paternity)
• Hybrid office work-arrangement
• Complimentary lunches, snacks and beverages during on-site working days
• Wellness benefit allowance
• Phone & Internet reimbursement
• Computer Accessory Allowance
• English Support class
• Annual health checkup
• Holiday Appreciation Gift

About the company

Sonatus is driving the transformation to AI-enabled software-defined vehicles. The company is headquartered in Sunnyvale, CA, with 250+ employees worldwide.