Application Engineer
Renesas Electronics2 months ago
Kodaira, JapanEntry Level / Mid Level
Responsibilities
- Enable, deploy, and optimize AI models such as object detection, segmentation, classification, and BEV models on Gen4/5 automotive SoC platforms.
- Analyze latency, throughput, multi-core scaling, memory bandwidth, scheduling, operator mapping, and hardware utilization to identify performance bottlenecks.
- Support PTQ, QAT collaboration, operator fusion, graph optimization, execution partitioning, and quantization accuracy mitigation.
- Integrate models into Linux and QNX embedded runtimes and debug CNNIP/DSP/NPU offloading, memory allocation, IPMMU, data transfer, and synchronization issues.
- Validate AI workloads on target boards and SIL/HIL simulators.
- Support ONNX model inspection, modification, segmentation, execution control, and quantized QDQ workflows.
- Develop and maintain tools and scripts for validation, benchmarking, and customer workflows.
- Serve as a technical interface for customers, compiler/runtime teams, and field application engineers, supporting evaluations, PoCs, demos, documentation, reports, issue tracking, and release validation.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Embedded Systems, or equivalent embedded-systems experience.
- Understanding of deep learning fundamentals and inference pipelines.
- Hands-on experience with PyTorch, ONNX, or ONNX Runtime.
- Strong Python programming skills; C/C++ knowledge is a plus.
- Familiarity with embedded systems and debugging tools.
- Ability to analyze latency, throughput, and hardware-utilization metrics.
- Preferred experience of 1–3 years in embedded systems or AI-related development.
- Preferred experience with model training, fine-tuning, evaluation, computer vision, automotive or robotics use cases, and embedded inference optimization.
- Familiarity with INT8 quantization, calibration methods, QDQ models, automotive SoCs, QNX, memory hierarchy, DMA, and multi-core scheduling.
- Customer or application engineering experience, ADAS perception knowledge, internal tooling or documentation experience, and ability to debug ONNX graphs or intermediate representations are advantageous.
Benefits
- Regular permanent employment.
- No remote work; the position is not remote.
- Competitive compensation and benefits are provided, with details shared during the selection process.
About Renesas Electronics
Renesas Electronics designs and sells microcontrollers, analog and power ICs, and connectivity solutions for automotive, industrial, infrastructure and IoT manufacturers. Its portfolio spans embedded processing, power management and ADAS-ready components, sold directly and through channels to OEMs and Tier-1 suppliers, with software and development tools to integrate them. Founded in 2010 and headquartered in Tokyo, it is a public company on the Tokyo Stock Exchange and has expanded through acquisitions including Intersil and Dialog Semiconductor.