Sr. Systems Design Engineer - Data Center GPU

Advanced Micro Devices; Markham; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Senior Systems Design Engineer to join their Data Center GPU team in Markham. This role involves driving scalable and automated solutions essential for product development, especially focusing on ML/AI workloads. Candidates should have strong proficiency in Python, Docker, and experience with automation and orchestration tools. A Bachelor’s or Master’s degree in Electrical or Computer Engineering along with 5-7 years of relevant experience is required. Join this innovative team and impact the future of computing.

Benefits

Comprehensive benefits package

Opportunities for career development

Qualifications

• Minimum 5-7 years relevant experience.
• Strong proficiency in Python and automation frameworks.
• Hands-on experience with Docker and container orchestration.

Responsibilities

• Design, build, and maintain Docker images optimized for ML/AI workloads.
• Develop and maintain Python-based automation scripts for workflows.
• Integrate ROCm stack and GPU resource management into environments.

Skills

Python

Automation frameworks

Docker

TensorFlow

PyTorch

Kubernetes

CI/CD tools

Education

Bachelor's or Master's in Electrical or Computer Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitHub Actions

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

THE ROLE:

We are looking for a dynamic, energetic Senior Systems Design Engineer to join our growing Data Center GPU team. Our team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. In this role, will work closely with the automation, infrastructure, and validation teams to ensure scalability and reliability. You will also document processes, best practices, and provide training for internal teams. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry leading technologies to market.

THE PERSON:

As a Systems Design Engineer, you will drive balanced, scalable, and automated solutions. In this high visibility position, your software systems engineering expertise will be necessary towards product development, definition, and root cause resolution. You will have strong problem-solving and debugging skills, excellent communication and collaboration abilitiesm and the ability to work in fast-paced, cross-functional environments.

KEY RESPONSIBILITIES:

• Containerization & Image Management
  • Design, build, and maintain Docker images optimized for ML/AI workloads.
  • Implement multi‑stage builds, image hardening, and vulnerability scanning.
  • Manage Docker registries (e.g., Harbor) and enforce retention policies for large‑scale deployments.
• Automation & Orchestration
  • Develop and maintain Python‑based automation scripts for Conductor workflows.
  • Implement CI/CD pipelines for automated container builds and workload deployment.
  • Integrate orchestration frameworks (Conductor, Kubernetes, Slurm) for multi‑node workload execution.
• ML/AI Workload Enablement
  • Enable training and inference workloads using frameworks like PyTorch, TensorFlow, VLLM.
  • Optimize distributed training and inference across multi‑node clusters using MPI and RDMA.
  • Collaborate with app experts to benchmark and tune performance for AI/HPC workloads.
• Infrastructure & Performance
  • Integrate ROCm stack and GPU resource management into containerized environments.
  • Troubleshoot latency, networking, and storage bottlenecks for at‑scale workloads.
  • Implement monitoring and logging for containerized ML workloads.

PREFERRED EXPERIENCE:

• Strong proficiency in Python and automation frameworks.
• Hands‑on experience with Docker and container orchestration (Kubernetes, Podman).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions) and infrastructure‑as‑code (Terraform, Ansible).
• Knowledge of ML frameworks (PyTorch, TensorFlow) and GPU acceleration (ROCm, CUDA).
• Understanding of networking concepts (RDMA, MPI) for distributed workloads.
• Prior experience enabling ML/AI workloads in production or HPC environments.
• Exposure to orchestration platforms like Conductor or similar workflow engines.

ACADEMIC CREDENTIALS:

• Bachelors or Masters degree in electrical or computer engineering, minimum 5‑7 years relevant experience

LOCATION:

Markham, ON

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.