At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.

We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.

We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.

If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.

Together, we can create a more sustainable future for all.

About the Role

We are seeking an experienced Senior Software Engineer to transform Fujitsu Research projects into production-ready MVPs. This role requires a unique blend of deep AI expertise and robust software engineering capabilities to bridge the gap between research innovation and scalable products. 

Key Responsibilities 

• Research Translation: Convert Fujitsu Research projects into Minimum Viable Products (MVPs) with production-grade architecture
• AI Implementation: Design and implement solutions leveraging traditional machine learning, neural networks, LLMs, and vision-language models (vLMs)
• Cloud Architecture: Develop and deploy microservices on AWS using Lambda, DynamoDB, S3, API Gateway, LocalStack, and Docker
• SDK Development: Design and build Python SDK packages with clean, maintainable architecture
• Code Protection: Utilize Cython to perform binarization of Python code for intellectual property protection and performance optimization
• Quality Assurance: Implement comprehensive CI/CD pipelines with integration and unit testing
• Requirements Engineering: Balance technical feasibility with stakeholder needs, finding optimal solutions that satisfy both engineering constraints and business requirements
• Team Collaboration: Actively mentor junior team members while remaining open to learning from others, fostering a culture of continuous growth and knowledge sharing

Required Qualifications

Education & Experience

• Master's degree (Electrical Engineering, Computer Science, Mechanical Engineering, Physics, or related fields) with 5+ years of professional experience, OR
• Ph.D. (Electrical Engineering, Computer Science, Mechanical Engineering, Physics, or related fields)
• Proven track record of completing full software development lifecycle projects from conception to deployment

Technical Expertise

• Strong understanding of AI fundamentals across multiple domains:
  • Traditional machine learning algorithms and frameworks
  • Neural network architectures and deep learning
  • Large Language Models (LLMs)
  • Vision-Language Models (vLMs)
• AWS & Cloud Infrastructure
  • Hands-on experience with AWS microservices architecture
  • Proficiency in: Lambda, DynamoDB, S3, API Gateway
  • Experience with LocalStack for local development
  • Strong Docker containerization skills
• Software Development
  • Expert-level Python programming
  • Python SDK package design and distribution
  • Cython experience: Proficiency in using Cython for Python code binarization and compilation
  • Version control with Git, GitHub, and GitLab
  • Development environment management (VS Code or similar IDEs)
• DevOps & Testing
  • CI/CD pipeline design and implementation
  • Integration testing and unit testing strategies
  • Test-driven development practices
• Soft Skills
  • Collaborative mindset: Genuine enthusiasm for both mentoring others and being mentored
  • Problem-solving orientation: Ability to navigate competing requirements and find pragmatic engineering solutions
  • Team player: Commitment to collective learning and team success
  • Communication: Ability to bridge technical and non-technical stakeholders

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. ​ It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $107,870 to $154,100 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits.​