Total 2 Transportation / Logistics job vacancies in Tokyo

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.

The Consultants are required to proactively interact with their own team and Global Unified Support, to resolve customer issues by providing the best suited solutions and to build customer satisfaction. They are expected to cooperatively engage and focus to commit towards the defined SLA, MBO and KPI targets to provide the “Moment of Service’ for IFS customers by being effective and efficient.  

As a consultant – Business Applications, you will be responsible for core activities including; 

• Applies sound industry and cross-product knowledge to solve customer issues of medium complexity.   

• Demonstrates deep knowledge of IFS processes and tools.   

• Ensures quality service delivery, partners on team goals, and manages timely resolutions within SLA/OLA standards   

• Takes initiatives to meet team goals and ensures efficient issue resolution.   

• Executes planned maintenance and improves customer satisfaction   

• Ensures meaningful and professional communication, meeting customer expectations.   

• Assists in training colleagues on domain-specific knowledge and tools.   

• Actively participates in knowledge-distribution activities and addresses documentation gaps   

• Expands internal and external networks, acting as a reference point within the team.   

• Takes on additional obligations and contributes to business development events.   

• Identifies opportunities for process enhancements and proposes improvements.