AI Compiler Engineer at NVIDIA
toronto, on, Canada • Posted June 06, 2026
Job Type:
Full-time
Location:
toronto, on
Posted:
June 06, 2026
Category:
Engineering
Application Deadline:
July 16, 2026
Role Description
Elevate your engineering skills with NVIDIA as a Machine Learning Applications and Compiler Engineer. This exciting full-time role is available either in Toronto or through a remote option.
Ideal candidates are recent or soon-to-be graduates with a Master's or PhD in relevant engineering fields. Your work will involve creating and optimizing high-performance compilers for AI applications, shaping how neural networks interact with NVIDIA hardware. Your collaboration will directly influence design and performance improvements across new technologies.
Key Responsibilities: • Develop and optimize compiler components for deep learning • Extend integration with NVIDIA’s software ecosystem • Benchmark and analyze performance of neural network mappings • Collaborate with architects on performance-driven features • Prototype innovative compilation and runtime techniques
Requirements: • Pursuing or completed MS or PhD in Computer Science • Proficiency in C/C++ and fami...
Ideal candidates are recent or soon-to-be graduates with a Master's or PhD in relevant engineering fields. Your work will involve creating and optimizing high-performance compilers for AI applications, shaping how neural networks interact with NVIDIA hardware. Your collaboration will directly influence design and performance improvements across new technologies.
Key Responsibilities: • Develop and optimize compiler components for deep learning • Extend integration with NVIDIA’s software ecosystem • Benchmark and analyze performance of neural network mappings • Collaborate with architects on performance-driven features • Prototype innovative compilation and runtime techniques
Requirements: • Pursuing or completed MS or PhD in Computer Science • Proficiency in C/C++ and fami...
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