Renesas Electronics
Technology
ApplicationEngineer(AutomotiveSoC)
“Application Engineer (Automotive SoC) at Renesas Electronics. Skills: AI Model Enablement, Embedded AI Inference, Toolchain Support. Enable and deploy AI models. Perform model performance analysis”
Industry & Context.
Analyze performance; Identify bottlenecks; Propose mitigation strategies; Debug issues
What They're Looking For.
Must Have
Bachelor’s or Master’s degree, Solid understanding of deep learning fundamentals, Hands-on experience with AI frameworks, Programming skills in C/C++, Familiarity with embedded systems, Ability to analyze performance
Nice to Have
1–3 years of experience, Experience with AI model training, Computer vision models, Automotive or robotics use cases, Practical experience with AI inference optimization, Familiarity with quantization techniques, Experience with automotive SoCs, QNX is a plus, Understanding of memory hierarchy, Experience supporting customers, Knowledge of automotive AI standards, Experience contributing to internal tools, Ability to read and debug ONNX graphs
What You'll Do.
Enable and deploy AI models
Perform model performance analysis
Support model optimization workflows
Analyze accuracy degradation
Propose mitigation strategies
Integrate AI models into runtime environments
Debug issues related to offloading
Debug memory allocation
Debug multi-core synchronization
Validate AI workloads
Work with AI compiler toolchains
Support ONNX model handling
Develop or maintain internal tools
Act as a technical interface
Support customer evaluations
Provide technical guidance
Contribute to technical reports
Contribute to issue tracking
Contribute to release validation
How You'll Work.
Team & Collaboration
Internal compiler/runtime teams; External customers; Cross-functional environment; Field application engineers
Communication Scope
Technical guidance; Documentation; Best practices
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