Implementation Methodology Engineer - GPU
Nvidia · Santa Clara, CA
About this role
Nvidia is hiring a mid-level Embedded Software Engineer in the software engineering function based in Santa Clara, CA. The posting calls out experience with Python, Deep Learning, Frontend Development.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Posted
- May 19, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.
What you’ll be doing:
You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support.
Use NVIDIA implementation flows and EDA tool expertise to improve power, performance and area on NVIDIA's most critical designs
You will collaborate with logic designers, physical designers and EDA vendors to solve exciting implementation issues and develop new solutions.
This is an excerpt. Read the full job description on Nvidia careers →