MTS - Deep Learning Software Engineer - AI Models

ITjobs.ca; Markham; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company is seeking a passionate software engineer to expand AI models on AMD GPUs. This role involves optimizing key applications and benchmarks, working with cutting-edge technology, and collaborating with industry specialists. Ideal candidates will have strong C++/Python skills and a background in AI development.

Qualifications

• Strong technical skills in C++/Python AI development.
• Experience with GPU computing and AI models.

Responsibilities

• Enable and optimize key AI models on AMD GPUs.
• Collaborate with internal GPU library teams.
• Optimize AI frameworks in upstream repositories.

Skills

C++

Python

AI development

Analytical skills

Education

Masters or PhD in Computer Science

Tools

PyTorch

TensorFlow

CUDA

OpenCL

Job description

Job Description

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

The Role

AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

The Person

Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort.

Key Responsibilities

• Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs
• Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories
• Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI
• Work with open-source framework maintainers to understand their requirements – and have your code changes integrated upstream
• Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams
• Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
• Apply your knowledge of software engineering best practices
  
  

Preferred Experience

• Knowledge of GPU computing (HIP, CUDA, OpenCL)
• AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems
• Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
• Experiences to run workloads on large scale heterogeneous cluster is a plus
• Experiences to optimize GPU kernels for performance is a plus
  
  

Academic Credentials

• Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field
  
  

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

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