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AI Inference Systems Engineer at NVIDIA
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-16
Listing for:
NVIDIA Corporation
Full Time
position Listed on 2026-07-16
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, DevOps, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
NVIDIA is seeking a highly qualified engineer with 7+ years of experience and a solid background in software engineering, computer science, or computer engineering. The role emphasizes performance engineering in machine learning frameworks, particularly with PyTorch and vLLM. Become an integral part of a team that drives innovation through advanced GPU programming and optimizes inference engines for large-scale deployments.
Key Responsibilities:
• Contribute features to vLLM for GPU performance
• Optimize inference framework using various parallelism techniques
• Develop and benchmark GPU kernels for efficiency
• Build methodologies for industry-standard inference benchmarks
• Architect containerized large-scale inference deployments
Requirements:
• Bachelor’s degree with 7+ years experience in relevant fields
• Proficient in Python and C/C++, experience with Go/Rust
• Deep understanding of ML frameworks and inference engines
• Familiar with Docker, Kubernetes, and cloud platforms
• Excellent problem-solving and debugging skills
Utilize your programming and engineering skills to enhance NVIDIA's AI Inference Systems.
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