Senior AI/ML Systems Architect — GPU & Data Center

Advanced Micro Devices; Markham; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading semiconductor company located in York Region, Markham is seeking a Sr. AI/ML Engineer to lead the design and implementation of advanced AI architectures. The role involves defining AI strategies, collaborating with various teams to optimize AI workloads, and developing frameworks that enhance validation cycles. Preferred candidates will possess a strong background in AI frameworks, experience with GPU computing, and proficiency in C/C++ and Python. This position offers a dynamic work environment focused on innovation and collaboration.

Qualifications

• Strong background in AI/ML frameworks such as PyTorch, TensorFlow, and ONNX.
• Experience with GPU computing and ROCm software stack.
• Knowledge of distributed systems and performance optimization.
• Proficiency in C/C++, Python, and Linux environments.
• Familiarity with networking technologies for high-performance data transfer.
• Excellent communication and problem-solving skills.
• Proven delivery of complex AI solutions.

Responsibilities

• Define and drive AI architecture strategies for GPU-based platforms.
• Collaborate with teams to optimize AI/ML workloads.
• Develop AI-driven frameworks for automated testing.
• Lead architectural reviews and design decisions.
• Create reference designs for AI workloads.
• Drive automation strategies for AI solutions.
• Partner with customers for end-to-end AI solutions.
• Mentor junior engineers and foster innovation.

Skills

AI/ML frameworks (PyTorch, TensorFlow, ONNX)

GPU computing

C/C++, Python

Linux environments

Networking technologies (RDMA, RoCE)

Leadership skills

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer or Electrical Engineering

Tools

HIP

MIGraphX

rocBLAS

MIOpen

Job description

A leading semiconductor company located in York Region, Markham is seeking a Sr. AI/ML Engineer to lead the design and implementation of advanced AI architectures. The role involves defining AI strategies, collaborating with various teams to optimize AI workloads, and developing frameworks that enhance validation cycles. Preferred candidates will possess a strong background in AI frameworks, experience with GPU computing, and proficiency in C/C++ and Python. This position offers a dynamic work environment focused on innovation and collaboration.