AMD

18 hours ago

AI Model, Framework, and GPU Software Engineer – Agentic AI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Build AI software technologies that help state-of-the-art models and frameworks run efficiently on GPU-accelerated platforms. Work across the end-to-end AI software stack, from model bring-up and framework enablement to performance optimization and GPU acceleration. Enable and optimize inference stacks and agentic AI software, improve model performance, collaborate with distributed teams, and contribute to open-source AI ecosystems supporting generative AI and LLM workloads.

Location: Markham

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop AI software solutions enabling efficient execution of models and frameworks on GPU-accelerated platforms.
•Enable and optimize AI frameworks, inference stacks, and agentic AI software.
•Bring up, analyze, and improve performance of state-of-the-art AI models.
•Optimize AI workloads across the software stack, from model architecture to GPU acceleration.
•Collaborate with cross-functional teams to deliver end-to-end AI software features and capabilities.

Key Requirements

•Experience developing software in C/C++ and/or Python on Linux and Windows platforms.
•Strong understanding of AI/ML concepts, model architectures, and inference workflows.
•Experience with AI frameworks and technologies such as PyTorch, vLLM, llama.cpp, or similar ecosystems.
•Familiarity with GPU acceleration, performance optimization, compiler technologies, or low-level programming.
•Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering, or relevant fields (preferred).

Experience:AI/MLOpen-sourceGenerative AIAgentic AILarge language models

Education:Bachelor's in Computer Science, Electrical Engineering, or relevant fields

Skills:CommunicationOwnershipProblem-solvingCollaborationAbility to learn quickly

Tech Stack:C/C++PythonLinuxWindowsPyTorchVLLMLlama.cppGPU accelerationPerformance optimizationCompiler technologiesLow-level programmingAI/MLInference workflows

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD