At a Glance
- Tasks: Develop cutting-edge AI software for GPU-accelerated platforms and optimize performance.
- Company: Join AMD, a leader in technology innovation shaping the future.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on open-source projects and emerging technologies.
- Why this job: Make a real impact in AI while advancing your career in a dynamic environment.
- Qualifications: Strong software engineering skills with knowledge of AI stacks and frameworks.
The predicted salary is between 135000 - 165000 $ per year.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
THE ROLE: Join a team developing AI software technologies that enable state-of-the-art models and frameworks to run efficiently on GPU-accelerated platforms. This role spans the end-to-end AI software stack—from model bring-up and framework enablement to performance optimization and GPU software acceleration—and offers the opportunity to contribute to open-source AI ecosystems supporting generative AI, agentic AI, large language models, image generation, and other emerging workloads across client, consumer, and enterprise platforms.
THE PERSON: You are a strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration. You are comfortable learning quickly in a fast-moving technical domain, solving complex problems, and collaborating with distributed teams across software, compiler, platform, and product areas. You communicate clearly, take ownership of technical challenges, and are motivated to build practical AI solutions that scale to real users.
KEY RESPONSIBILITIES:
- Develop AI software solutions that enable 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 the 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.
- Contribute to open-source AI software projects and support customer enablement efforts.
PREFERRED EXPERIENCE:
- 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.
- Experience analyzing and improving the performance of AI workloads and operators.
- Open-source software development experience and interest in emerging AI technologies are a plus.
ACADEMIC CREDENTIALS:
Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields preferred.
AI Model, Framework, and GPU Software Engineer in Markham employer: AMD
At AMD, we foster a dynamic work environment that champions innovation and collaboration, making it an exceptional place for a Physical Design Engineer to thrive. Our commitment to employee growth is evident through mentorship opportunities and a culture that values diverse perspectives, ensuring that every team member can contribute meaningfully to groundbreaking projects in cutting-edge technology. Located in a vibrant tech hub, AMD offers competitive benefits and a supportive atmosphere that empowers you to push the boundaries of what's possible in next-generation computing.
