A software engineering manager oversees the design and development of software applications and develops high-performance software solutions optimized for Fujitsu's next-generation processor technologies, which help solve real-world challenges facing society and businesses across different industries.
The Software Engineering Manager manages subordinate staff in the day-to-day performance of their jobs and ensures that project/department milestones/goals are met for developing innovative advanced solutions and services to support business outcomes.
Responsibilities
Lead and grow a high-performing engineering team focused on Agentic AI and intelligent software solutions.
Drive the design, development, optimization, and delivery of AI agents, AI-powered applications, and software platforms.
Improve performance, scalability, and efficiency of AI workloads across modern compute environments.
Evaluate AI models, frameworks, inference engines, and deployment strategies for production use.
Support hiring, team growth, and capability development.
Engage with open-source communities, industry partners, and academic collaborators.
Key Performance Indicators
Number of software applications enabled and optimized for Fujitsu’s new processor.
Number of software applications with improved performance
Development of new software algorithms and technologies
Experience
You will be able to demonstrate that you have:
Master’s or PhD degree in Computer Science, Engineering, AI/ML, or a related field.
10+ years of software engineering experience in systems, platform, or product development.
2+ years of experience leading teams delivering AI products or solutions.
Strong understanding of Generative AI, Agentic AI, LLMs, Multimodal AI, and AI application architectures.
Experience with AI frameworks and serving stacks such as PyTorch, Langchain, OpenVINO, vLLM, SGLang, ONNX Runtime, or similar.
Experience building, deploying, and optimizing AI applications and platforms.
Familiarity with quantization, fine-tuning, model compression, and inference optimization techniques.
Understanding of retrieval, orchestration, tool integration, and agent-based workflows.
Experience with open-source software, Agile development, and engineering best practices.
Strong leadership, communication, and mentoring skills.
Preferred Experience
You will be able to demonstrate that you have:
Experience with cloud platforms such as Azure or AWS, including containers, virtualization, and CI/CD.
Strong programming skills in Python and C/C++.
Experience with HPC, distributed computing, or large-scale AI infrastructure.
Experience in performance tuning, scalability, and software security.
Knowledge of modern AI ecosystems, agent frameworks, and deployment technologies is a plus.
Relocation Supported:
No
Visa Sponsorship Approved:
No
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