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AMD

AMD

Semiconductors

AMD currently has 35 active AI-related job listings. The majority of these roles, 66%, are focused on serving infrastructure. Engineering is the dominant function, with 32 positions. Frequent technical tags include model_serving, inference_infra, and evals, suggesting a focus on the deployment and evaluation of AI models. In the last 30 days, AMD posted 37 new AI roles.

Auto-generated from active job postings · last refreshed 2026-05-18

Frequently asked questions

  • What AI roles is AMD hiring for?

    AMD currently has 59 active AI-related roles in our index. The most common open titles are: Data Center Engineer (2), Lead Packaging Automation Engineer (2), Software Development Engineer (2), AI Framework Engineer, AI Software Development Eng.. Most positions are in Engineering and Research.

  • What stage of AI development does AMD focus on?

    AMD's active AI hiring is concentrated in: serving infrastructure (54%), agents (19%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is AMD hiring AI talent?

    AMD is hiring AI talent in: United States (29 roles), India (8 roles), Poland (6 roles), China (5 roles).

  • What technologies does AMD's AI team work with?

    Job postings at AMD most frequently reference: model serving, inference infra, fine tuning, agent orchestration, evals.

  • How many AI roles has AMD posted recently?

    In the past 30 days, AMD has posted 68 new AI-related roles. That is a +209% change versus the prior 30 days (22 → 68).

Jobs (1)

43 AI · 495 total active
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AI Safety Business Development Manager
This role focuses on establishing and leading global Trustworthy AI strategy, aligning with standards like ISO/IEC 42001 and the EU AI Act. It involves designing and implementing AI safety guardrails, dialogue governance, jailbreak defense, and accuracy assurance pipelines, with a specific emphasis on AI Agentic Risk Governance. The position also integrates hardware-based trust features (attestation, secure enclaves) into safety solutions and defines 'trusted inference modes'. A significant part of the role involves strategic partnership and ecosystem leadership, building collaborations with universities, governments, and industry bodies to architect safe AI deployment patterns for national and enterprise initiatives.
Eval GateAgentProductSanta Clara, CA6w ago8