Intern Researcher
- Toronto, ON, Canada
Volunteer
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Job details
- Job type
- Volunteer
- Posting language
- English
- Posted
Original job description
Job Location: Toronto, Ontario
Location Flexibility: Primary Location Only
Req Id: 8977
Posting Start Date: 8/24/26
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.
8977
Fujitsu is offering a 6-month internship for a highly motivated student interested in. This is a unique opportunity to contribute to the development of a unified MLIR-based compiler targeting Fujitsu’s next-generation architecture.
The architecture features a heterogeneous compute fabric with multiple hardware components, requiring sophisticated compiler infrastructure to optimize AI workloads across diverse hardware components. As an intern, you will work alongside experienced compiler engineers and researchers on real-world challenges in IR design, hardware-aware scheduling, and AI model optimization.
Required Qualifications
Relocation Supported: No
Visa Sponsorship Approved: No
At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.
We promote diversity, equal opportunity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by applicable law.
We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.
Location Flexibility: Primary Location Only
Req Id: 8977
Posting Start Date: 8/24/26
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.
8977
Fujitsu is offering a 6-month internship for a highly motivated student interested in. This is a unique opportunity to contribute to the development of a unified MLIR-based compiler targeting Fujitsu’s next-generation architecture.
The architecture features a heterogeneous compute fabric with multiple hardware components, requiring sophisticated compiler infrastructure to optimize AI workloads across diverse hardware components. As an intern, you will work alongside experienced compiler engineers and researchers on real-world challenges in IR design, hardware-aware scheduling, and AI model optimization.
Required Qualifications
- Pursuing a degree in computer science, Software Engineering, Electrical Engineering, or a related field. Master’s or PhD candidates are preferred.
- Strong programming skills in C++.
- Experience with Linux or Unix-like development environments.
- Familiarity with Python or scripting languages.
Relocation Supported: No
Visa Sponsorship Approved: No
At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.
We promote diversity, equal opportunity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by applicable law.
We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.
More about this job
Responsibilities
Contribute to the development of a unified MLIR-based compiler for Fujitsu's next-generation heterogeneous compute architecture. Work on IR design, hardware-aware scheduling, and AI model optimization to enhance AI workloads.
Requirements
Candidates must be pursuing a degree in Computer Science, Software Engineering, Electrical Engineering, or a related field, with Master's or PhD preferred. Strong proficiency in C++ and experience with Linux/Unix environments and Python are required.
Skills
- C++
- Linux
- Unix
- Python
- MLIR
- Compiler Design
- AI Model Optimization
- Hardware-aware Scheduling
- IR Design
Visa sponsorship
Not detected in the job text
Categories
- Software
- Engineering
- Science & Research
- Technology
- Consulting
Keywords
- MLIR
- Compiler
- C++
- Python
- Linux
- Unix
- AI Workloads
- Heterogeneous Compute
- IR Design
- Hardware-aware Scheduling
- AI Model Optimization
- Computer Science
- Software Engineering
- Electrical Engineering