Senior Embedded Systems & GPU Platform Engineer
AMD · Santa Clara, CA · Engineering
About this role
AMD is hiring a senior-level Embedded Software Engineer in the software engineering function based in Santa Clara, CA (hybrid). The posting calls out experience with Python, C, Bash, CUDA. Listed education preference: a bachelor's degree or equivalent.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Location
- Santa Clara, CA
- Work mode
- Hybrid
- Education
- Bachelor's degree
- Visa
- Not sponsored
- Department
- Engineering
- Posted
- Dec 3, 2025
More roles at AMD
Job description
from AMD careersWHAT 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.
SENIOR GPU FIRMWARE ENGINEER
Firmware Application Engineer - Datacenter GPU Platforms
THE ROLE:
Join AMD’s Datacenter Firmware Application team to support GPU deployments across Cloud, HPC, and OEM segments. You’ll work closely with customers, OEM partners, and internal engineering teams to enable AMD Instinct™ Accelerators on next-generation server platforms and ensure successful integration in data centers.
THE PERSON:
You have a strong foundation in embedded and firmware development, with expertise spanning GPU drivers and runtimes, OS kernel internals, microcontroller fundamentals, and hardware-level power and frequency controls. You excel at quantitative workload analysis, identifying performance bottlenecks, and collaborating across software stacks to deliver optimized, high-performance solutions.