Lead Gen AI / ML Engineer in Austin, Texas | Advanced Micro Devices, Inc

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$168,000–$168,000 / yr
Posted
63 days ago
Closes
Apr 8, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $168k
$159k most similar roles pay here $256k

This role pays less than 78% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $168k versus about $209k 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 71 open roles on FindRole.

Listed pay typically runs $178,400–$178,400 across 71 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Lead Gen AI / ML Engineer in Austin, Texas | Advanced Micro Devices, Inc

Join our dynamic AMD team as a Lead Gen AI and ML Engineer, where you will design and lead the development of advanced AI and ML architectures to enhance engineering execution and product delivery. You’ll mentor junior developers, collaborate across time zones, and drive initiatives that focus on business impact through end-to-end solutions. Your daily tasks include developing and deploying scalable ML models with low latency, managing data pipelines, and ensuring adherence to MLOps best practices. Ideal candidates have expert Python skills, deep knowledge of frameworks like PyTorch and TensorFlow, and experience in multi-cloud environments. You should also be proficient in SQL, ETL processes, and possess strong analytical and problem-solving abilities. Experience with agentic AI, RAG, LLMs, and semiconductor design is a plus.

What you'll do

  • Design and lead the development of AI and ML architectures for Multi-Agentic AI solutions.
  • Lead business impact-driven AI initiatives from conception to delivery.
  • Develop and deploy scalable ML models with low latency and high performance.
  • Drive engineering excellence through comprehensive code reviews and adherence to MLOps best practices.
  • Handle large datasets, develop scalable data pipelines using ETL/ELT techniques.
  • Work across multi-cloud environments and frameworks like Langgraph, Pytorch.

What we're looking for

  • Expert level Python programming and deep knowledge of ML frameworks (Scikit-Learn/PyTorch/TensorFlow)
  • Experience in developing, deploying, and scaling machine learning models with low latency and high performance
  • Strong experience in SQL, data wrangling, ETL processes, and scalable data pipeline development
  • Proven track record of working within and across groups, collaborating effectively across time zones
  • Demonstrated expertise in MLOps best practices including CI/CD, comprehensive code review, and automation
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

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