Staff AI Application Engineer (Automotive SoC)Full-timeEmployment Type: Regular (PERM)Remote Work Available: NoJob DescriptionJob SummaryWe are looking for anAI Application Engineerto 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 tobring AI models from training to optimized inference on embedded NPU/DSP platforms, with a strong focus onperformance, accuracy, and system integration.Key ResponsibilitiesAI Model Enablement & OptimizationEnable and deploy AI models (e.g.,BEV, object detection, segmentation, classification) on Gen4/5 SoC platforms with CNNIP/DSP/NPU HWA.Performmodel performance analysis(latency, throughput, multi-core scaling) and identify bottlenecks related to memory bandwidth, scheduling, or operator mapping.Supportmodel optimization workflows, including:Post-Training Quantization (PTQ)Quantization-Aware Training (QAT) collaborationOperator fusion, graph optimization, and execution partitioningAnalyze accuracy degradation caused by quantization or operator limitations and propose mitigation strategies.Embedded AI Inference & System IntegrationIntegrate AI models intoembedded runtime environments(Linux / QNX).Debug issues related to:CNNIP/DSP/NPU offloadingMemory allocation / IPMMUData transfer overhead and multi-core synchronizationValidate AI workloads on target boards and simulators (SIL / HIL).Toolchain & Model Workflow SupportWork with AI compiler and runtime toolchains (e.g.,ONNX-based workflows, hybrid compiler, MWMX).Support ONNX model handling, including:Graph inspection and modificationModel segmentation and execution controlQuantized (QDQ) ONNX modelsDevelop or maintaininternal tools and scriptsto improve model validation, benchmarking, and customer workflows.Customer & Cross-Team CollaborationAct as atechnical interfacebetween 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 toweekly technical reports, issue tracking, and release validation activities.What We OfferOpportunity to work onstate-of-the-art automotive AI platforms.Hands-on involvement across theentire AI lifecycle, from model to silicon.Close collaboration with compiler, runtime, and hardware architecture teams.Exposure to real customer deployments and production constraints.QualificationsRequired QualificationsBachelor’s or Master’s degree inComputer Science, Electrical Engineering, Embedded Systems, or have experience in embedded systems.Solid understanding ofdeep learning fundamentalsand inference pipelines.Hands-on experience withAI frameworkssuch as PyTorch, ONNX, or ONNX Runtime.Strong programming skills inPython; working knowledge ofC/C++is a plus.Familiarity withembedded systemsand debugging tools.Ability to analyze performance using metrics such as latency, throughput, and hardware utilization.Good communication skills in a multi-cultural, cross-functional environment.Preferred / Optional Qualifications1–3 years of experience in embedded systems or AI-related development.Experience withAI model training, fine-tuning, or evaluation, especially for:Computer vision models (Detection / Segmentation / BEV)Automotive or robotics use casesPractical experience withAI inference optimizationon embedded hardware (NPU, DSP, GPU, or CPU).Familiarity withquantization techniques(INT8, calibration methods, QDQ models).Experience withautomotive SoCsor safety-related software environments (QNX is a plus).Understanding of memory hierarchy, DMA, and multi-core scheduling in SoC architectures.Nice to HaveExperience supporting customers or acting in atechnical support / application engineering role.Knowledge of automotive AI standards or ADAS perception pipelines.Experience contributing to internal tools, scripts, or documentation.Ability to read and debug ONNX graphs or intermediate representations.Additional InformationRenesas is an embedded semiconductor solution provider driven by its Purpose,To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.Are you ready to join our team andshape the futurewith us?Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read ourDiversity & Inclusion Statement.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy Notice
