About this role

AMD is hiring a mid-level Machine Learning Engineer based in Austin, TX. The posting calls out experience with Python, TensorFlow, PyTorch, Machine Learning.

Role: Machine Learning Engineer
Function: machine learning
Level: mid
Track: Individual contributor
Location: Austin, TX
Department: Engineering
Posted: Jul 6, 2026

AI Summary

Lead development and deployment of AI-driven packaging design automation workflows for advanced heterogeneous integration technologies. Bridge physical design requirements with software automation to create scalable, scriptable solutions. Requires proven technical leadership, cross-functional collaboration skills, and ability to translate complex design challenges into AI workflows.

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Job description

from AMD careers

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

We are looking for a forward-thinking candidate to drive and lead the team for the development and deployment of next-generation packaging design automation and AI-Driven workflows. You will focus on accelerating the design of advanced heterogeneous integration technologies, specifically substrates, organic interposers, and bridge interconnects. AMD's environment is fast-paced, results-oriented, and built upon a legion of innovators with a passion for winning technology.

THE PERSON:

The successful candidate must be a proven leader and a technical innovator who can bridge the gap between physical design requirements and software automation to generate AI driven workflows. He or she must have a drive for solutions and an aptitude to thrive in a multi-tasking environment, translating complex design challenges into scriptable, scalable workflows. They should possess excellent cross-functional collaboration skills to work between Design, EDA, and AI teams, with good executive presentation skills. Demonstrating strong technical leadership to excel in his/her work with minimum supervision and a strong interest in growing within the technical or management ladder.

KEY RESPONSIBILITIES:

Drive the development, deployment, and maintenance of AI workflows for Substrate, Interposer, and Silicon Bridge design methodologies.
Deploy AI/ML methodologies to optimize critical design stages, including auto-routing, component placement, and signal integrity optimization.
Collaborate with EDA vendors and internal stakeholders to define and implement next-generation feature roadmaps for 2.5D and 3D packaging.
Lead the transition from manual design practices to "Agentic" and algorithmic design operational models.
Coordinate with electrical and mechanical analysis teams to build closed-loop optimization systems that feed simulation results back into design construction.
Prepare & present Executive Summaries of automation ROI, efficiency gains, and tool capability advancements.
Coordination of activities within/external teams to deliver critical design tape-outs and methodology milestones.
Mentoring junior engineers in coding best practices and advanced packaging concepts.

PREFERRED EXPERIENCE:

Strong knowledge of EDA packaging design tools (Cadence APD/SIP, Siemens Xpedition, or Synopsys 3DIC/Compiler).
Proven track record of developing automation using Python, Tcl, SKILL, or C++.
Experience with applying AI/ML frameworks (PyTorch, TensorFlow, etc.) to engineering or design problems.
Familiarity with Advanced Packaging architectures (2.5D/3D, Chiplets, Fan-Out, Hybrid Bonding).
Familiar with design verification flows (DRC/LVS) and electrical extraction concepts.
Good leadership and interpersonal skills.

ACADEMIC CREDENTIALS:

Bachelor/MS degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with relevant packaging experience.

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.