Lead Agentic AI Performance Optimization Engineer

AMD; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

AMD is seeking a Principal Agentic AI Performance Optimization Engineer to advance end-to-end AI workload performance on AMD hardware. You will join a team building tooling, inference serving, and agentic systems to accelerate AI adoption across platforms.

The role emphasizes developing scalable tooling, safety frameworks, and adaptable abstractions for diverse workloads and environments, with opportunities to influence across teams and repositories.

Qualifications

• Experience building developer tooling and automation.
• Experience deploying AI models in production.
• Familiarity with agentic AI workflows.
• Degree or equivalent in CS/CE/EE.

Responsibilities

• Develop tooling to improve developer/operator experience across the performance optimization stack.
• Create safety and validation frameworks for agentic systems.
• Design abstractions supporting diverse workloads and environments.
• Package validated optimizations into versioned artifacts with provenance.
• Drive adoption and sharing of tooling across teams and repositories.

Skills

Python tooling

LLM deployment

Agentic systems

Docker

Kubernetes

CI/CD

Observability

Education

CS/CE/EE degree

Tools

Docker

Kubernetes

Job description

AMD is seeking a Principal Agentic AI Performance Optimization Engineer to advance end-to-end AI workload performance on AMD hardware. You will join a team building tooling, inference serving, and agentic systems to accelerate AI adoption across platforms.

The role emphasizes developing scalable tooling, safety frameworks, and adaptable abstractions for diverse workloads and environments, with opportunities to influence across teams and repositories.