Total 3 job vacancies by Renesas Electronics

Staff Product Engineers Logistic will be a critical part of our sustaining team, ensures product continuity after mass production.  We are seeking a Product Engineer who has strong back ground in Product Engineering. This role is crucial to ensure execution of sustaining projects and also proactively monitor production supply chain.  The ideal candidate will collaborate with cross-functional teams—including design, test, manufacturing, and quality—to support mature products in high-volume production, drive yield improvement, and extend product lifecycle.

Key Responsibilities

•  Manage and maintain BOM system.  This will be a crucial on-going task to ensure production system operates flawlessly.  Candidate will be trained to generate and mainitain BOM of all PCP products in new Renesas system.
• Sustain multiple products lifecycles, production and compliance. Oversees high volume PCP Products mass production manufacturing across all internal factory and subcons
• Generating and monitor engineering build requests to support qualification/validation builds and customer samples.
• Generate weekly yield/variance monitor report and recommend actions.
• Generate and monitor SBL/SYL updates
• Monitor and resolve manufacturing and test issues, working closely with fab, assembly, and test sites.
• Work with several data base system to generate useful reports to help drive sustaining team productivity. 

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

• Enable and deploy AI models (e.g., BEV, object detection, segmentation, classification) on Gen4/5 SoC platforms with CNNIP/DSP/NPU HWA.
• Perform model performance analysis (latency, throughput, multi-core scaling) and identify bottlenecks related to memory bandwidth, scheduling, or operator mapping.
• Support model optimization workflows, including:
  • Post-Training Quantization (PTQ)
  • Quantization-Aware Training (QAT) collaboration
  • Operator fusion, graph optimization, and execution partitioning
• Analyze accuracy degradation caused by quantization or operator limitations and propose mitigation strategies.

Embedded AI Inference & System Integration

• Integrate AI models into embedded runtime environments (Linux / QNX).
• Debug issues related to:
  • CNNIP/DSP/NPU offloading
  • Memory allocation / IPMMU
  • Data transfer overhead and multi-core synchronization
• Validate AI workloads on target boards and simulators (SIL / HIL).

Toolchain & Model Workflow Support

• Work with AI compiler and runtime toolchains (e.g., ONNX-based workflows, hybrid compiler, MWMX).
• Support ONNX model handling, including:
  • Graph inspection and modification
  • Model segmentation and execution control
  • Quantized (QDQ) ONNX models
• Develop or maintain internal tools and scripts to improve model validation, benchmarking, and customer workflows.

Customer & Cross-Team Collaboration

• Act as a technical interface between customers, internal development teams, and field application engineers.
• Support customer evaluations, PoCs, and demos on automotive AI platforms.
• Provide technical guidance, documentation, and best practices for AI model deployment.
• Contribute to weekly technical reports, issue tracking, and release validation activities.

Role Summary
The Principal Engineer for Automotive Cybersecurity Governance & Compliance is responsible for leading the regional compliance strategy and technical governance for automotive MCU and SoC products across China and the APAC region. This role ensures that semiconductor platforms, reference architectures, safety manuals, and cybersecurity collateral enable OEMs and Tier 1 customers to achieve compliance with China GB 44495‑2024, GB 44496‑2024, CATARC‑directed certification activities, and UN R155‑based national implementations, including Korea’s Vehicle Cybersecurity Audit Framework.

The role acts as the technical authority and regulatory interface for cybersecurity certification impacts on MCU/SoC suppliers, bridging global product development teams, regional regulatory bodies, certification agencies, and customer compliance teams.

Key Responsibilities

1. China Automotive Cybersecurity Governance & Certification Leadership
2. UN R155 and APAC Regulatory Alignment
3. Korea Vehicle Cybersecurity Audit Framework Expertise
4. China Cryptography & PQC Strategy Awareness
5. MCU / SoC Cybersecurity Architecture & Evidence Enablement
6. Cross Functional & External Leadership