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AI Platform Engineer, Silicon Design Infrastructure

AMD· Engineering
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Hybrid (Markham, ON)CA$155.2kFull-timePosted 2w ago

About the role

Hands-on engineer to build and operate the development infrastructure and AI solutions for AMD's AI-assisted silicon design program, combining ASIC design methodology, developer infrastructure, and AI/ML engineering to make AI capabilities dependable and usable in production hardware development flows.

Responsibilities

  • Modernize source control, code management, and release workflows for design and verification teams, including repository architecture, large-file and IP management, branching strategies, and CI/CD implementation.
  • Build and operate the compute and storage infrastructure that supports AI services and AI asset management.
  • Develop instrumentation and telemetry frameworks for AI solutions, including usage tracking, cost attribution, performance monitoring, and workflow analytics.
  • Establish benchmarking and evaluation methodologies that quantify AI solution quality, productivity impact, throughput, and cost efficiency.
  • Partner with RTL, verification, and CAD teams to understand development methodologies and translate them into AI-enabled engineering workflows.
  • Drive AI solution adoption through onboarding, documentation, training, and user support across IP, SoC, and platform development teams.

Qualifications

  • Strong software engineering skills in Python; C++ or similar languages are a plus, with experience building production services, APIs, automation solutions, and CI/CD pipelines.
  • Hands-on expertise with Git, GitHub, or equivalent enterprise source control platforms, including large-scale repository management and migration efforts.
  • Working knowledge of ASIC development flows, including RTL design using Verilog/SystemVerilog, verification methodologies, regression environments, and EDA tool ecosystems.
  • Experience with EDA compute environments, including LSF, Slurm, distributed storage systems, and Linux infrastructure at scale.
  • Experience with telemetry systems, time-series data pipelines, dashboarding and visualization tools (e.g., Power BI), and statistical analysis.
  • Familiarity with LLM operations, model evaluation, usage and cost accounting, AI service deployment, and benchmarking methodologies.
  • Demonstrated success leading platform rollouts or enterprise-scale shared service adoption initiatives.
  • Excellent communication, collaboration, and stakeholder management skills.

Skills

Required:PythonGit / GitHub
Nice to have:C++

Benefits

  • Benefits offered are described: AMD benefits at a glance
Last updated Oct 22, 2026. Interested? Apply on the company site.
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