Senior AI/ML Solutions Engineer

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,800–$301,200 / yr
Posted
25 days ago
Freshness
Confirmed live today
Closes
Oct 1, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $251k
$149k $318k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $170,137–$241,750 — the blue band above. At the midpoint, this role pays about $251k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior AI/ML Solutions Engineer

The Senior AI/ML Solutions Engineer joins the Software and Solutions Team to empower customers and partners in adopting the AMD AI software stack. This role involves developing reference designs, optimizing workflows, and performing performance tuning for enterprise AI deployments. The engineer will prototype end-to-end workflows for training, fine-tuning, and inference while creating validated designs, notebooks, and performance playbooks. Key responsibilities include collaborating with engineering teams and cloud partners to translate customer insights into engineering direction. Required technical skills include expertise in PyTorch, TensorFlow, JAX, and containerized GPU environments. The role also requires familiarity with ROCm, CUDA, and MI300/MI325 platforms. The position focuses on solving complex workload challenges for LLMs, generative AI, RAG, and computer vision within the AMD AI ecosystem.

What you'll do

  • Create reference designs, optimize workflows, and perform performance tuning for AI solutions.
  • Prototype and demonstrate end-to-end AI workflows for training, fine-tuning, and inference.
  • Develop validated designs, notebooks, and performance playbooks for customers and partners.
  • Provide structured feedback to engineering teams regarding ROCm, frameworks, and platform performance.
  • Validate ecosystem integrations such as vLLM and Triton to improve workload efficiency.
  • Build demos and best-practice content to champion AMD technologies within the AI community.
  • Influence product roadmaps by translating customer insights into actionable engineering directions.
  • Guide enterprise stakeholders through technical deep dives and solution integrations for complex workloads.

What we're looking for

  • BS, MS, or PhD in Computer Science or a related equivalent.
  • Extensive expertise in AI/ML engineering, distributed training, and GPU computing (preferred).
  • Strong experience in customer engagement, enterprise solution design, and technical advocacy (preferred).
  • Hands-on experience with PyTorch, TensorFlow, JAX, inference runtimes, and containerized GPU environments (preferred).
  • Familiarity with ROCm, CUDA, AMD MI300/MI325 platforms, MLOps systems, data pipelines, and cloud-native deployment architectures (preferred).
  • Experience developing demos, validated designs, reproducible notebooks, or technical content (preferred).
  • Deep technical knowledge of machine learning frameworks, GPU workflows, and enterprise architecture.
  • Strong communication skills for engaging with enterprise stakeholders and leading technical deep dives.

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