Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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 solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence.
This role is for the Advanced Technology Group and will be located in Hillsboro, Oregon. #LI-Hybrid
Responsibilities
- Work with technologists to build industry-leading advanced computational methods for semiconductor manufacturing and design.
- Exploit the potential of the GPU to dramatically accelerate software solutions.
- Accelerate semiconductor yield and time to market by keeping cadence of semiconductor innovation alive.
Requirements
- MS (PhD preferred) in Computer Science or Engineering or equivalent experience.
- 5+ years of research/industry experience.
- A track record of innovation (for example, invention of computer algorithms).
- Experience developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
- Experience scaling software to efficiently utilize millions of compute hours and process petabytes of data.
- Strong collaborative and interpersonal skills; ability to guide and influence within a dynamic matrix environment.
Ways to stand out
- Deep understanding of technology and passion for the work.
- Proven ability to guide and influence in a dynamic matrix environment.
Compensation & benefits
- Base salary ranges (depending on level and location):
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- Eligible for equity and benefits (link provided in original posting).
Applications for this job will be accepted at least until March 24, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.