Job Description
Job Summary
We are looking for an AI Application Engineer to support the enablement, optimization, and deployment of AI models on automotive-grade SoCs.
In this role, you will work closely with internal compiler/runtime teams and external customers to bring AI models from training to optimized inference on embedded NPU/DSP platforms, with a strong focus on performance, accuracy, and system integration.
Key Responsibilities
AI Model Enablement & Optimization
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Enable and deploy AI models (e.g., BEV, object detection, segmentation, classification) on Gen4/5 SoC platforms with CNNIP/DSP/NPU HWA.
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Perform model performance analysis (latency, throughput, multi-core scaling) and identify bottlenecks related to memory bandwidth, scheduling, or operator mapping.
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Support model optimization workflows, including:
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Post-Training Quantization (PTQ)
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Quantization-Aware Training (QAT) collaboration
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Operator fusion, graph optimization, and execution partitioning
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Analyze accuracy degradation caused by quantization or operator limitations and propose mitigation strategies.
Embedded AI Inference & System Integration
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Integrate AI models into embedded runtime environments (Linux / QNX).
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Debug issues related to:
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CNNIP/DSP/NPU offloading
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Memory allocation / IPMMU
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Data transfer overhead and multi-core synchronization
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Validate AI workloads on target boards and simulators (SIL / HIL).
Toolchain & Model Workflow Support
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Work with AI compiler and runtime toolchains (e.g., ONNX-based workflows, hybrid compiler, MWMX).
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Support ONNX model handling, including:
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Graph inspection and modification
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Model segmentation and execution control
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Quantized (QDQ) ONNX models
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Develop or maintain internal tools and scripts to improve model validation, benchmarking, and customer workflows.
Customer & Cross-Team Collaboration
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Act as a technical interface between customers, internal development teams, and field application engineers.
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Support customer evaluations, PoCs, and demos on automotive AI platforms.
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Provide technical guidance, documentation, and best practices for AI model deployment.
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Contribute to weekly technical reports, issue tracking, and release validation activities.
Qualifications
Required Qualifications
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Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Embedded Systems, or have experience in embedded systems.
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Solid understanding of deep learning fundamentals and inference pipelines.
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Hands-on experience with AI frameworks such as PyTorch, ONNX, or ONNX Runtime.
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Strong programming skills in Python; working knowledge of C/C++ is a plus.
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Familiarity with embedded systems and debugging tools.
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Ability to analyze performance using metrics such as latency, throughput, and hardware utilization.
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Good communication skills in a multi-cultural, cross-functional environment.
Preferred / Optional Qualifications
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1–3 years of experience in embedded systems or AI-related development.
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Experience with AI model training, fine-tuning, or evaluation, especially for:
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Computer vision models (Detection / Segmentation / BEV)
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Automotive or robotics use cases
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Practical experience with AI inference optimization on embedded hardware (NPU, DSP, GPU, or CPU).
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Familiarity with quantization techniques (INT8, calibration methods, QDQ models).
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Experience with automotive SoCs or safety-related software environments (QNX is a plus).
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Understanding of memory hierarchy, DMA, and multi-core scheduling in SoC architectures.
Nice to Have
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Experience supporting customers or acting in a technical support / application engineering role.
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Knowledge of automotive AI standards or ADAS perception pipelines.
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Experience contributing to internal tools, scripts, or documentation.
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Ability to read and debug ONNX graphs or intermediate representations.
Additional Information
ルネサスは、「To Make Our Lives Easier（人々の暮らしをより豊かで快適にする）」というPurposeのもと、組込み半導体ソリューションを提供するグローバル企業です。世界30か国以上で活躍する21,000人を超えるエンジニアや課題解決のプロフェッショナルとともに、自動車、産業、インフラ、IoT分野における世界最先端のテクノロジー開発に携わり、より安全で、健康的で、環境にやさしく、スマートな未来の実現に貢献しています。
ルネサスでは、「TAGIE（Transparent、Agile、Global、Innovative、Entrepreneurial）」を企業文化の中核としています。TAGIEは、私たちの働き方や成長のあり方、そしてPurposeの実現に向けた取り組みを支える共通の価値観です。この協調的な精神と挑戦するマインドセットが、半導体技術を通じた産業の変革と、世界中の人々の暮らしへの貢献を可能にしています。
私たちは、競争力のある報酬制度に加え、充実した福利厚生をご用意しています。福利厚生の詳細については、選考プロセスの中でご案内いたします。
私たちとともに未来を創造する挑戦に、ぜひ参加しませんか。皆さまからのご応募をお待ちしております。
