Used Tools & Technologies
Machine LearningRequired 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.
Software Development @ 3
Algorithms @ 6
Data Structures @ 6
Distributed Systems @ 3
Parallel Programming @ 3
Performance Optimization @ 3
CUDA @ 3
GPU @ 3
Deep Learning @ 3
AI @ 3
- 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
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join our group. Do you have a proven software development background in advanced computational methods for advanced semiconductor manufacturing and design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we’d love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production.
This role will be located in Hillsboro, Oregon.
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 these software solutions.
- Accelerate semiconductor yield and time to market by improving computational methods and performance.
Requirements
- Pursuing or recently completed an MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
- Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
- Research and/or industry experience working on advanced computational and AI systems.
- Exposure to ML/AI techniques and deep learning fundamentals, including various network architectures and advanced concepts like model optimization, backpropagation, and mitigating challenges like vanishing gradients and model overfitting.
- Demonstrated ability in low-level performance optimization, including algorithm development, memory management, cache compression, and workload balancing for scalable, distributed systems.
- Ability to quickly ramp up on parallel programming models like CUDA to accelerate computational methods.
- Ability to solve complex algorithmic challenges and technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory.
Compensation and Additional Information
- Base salary ranges provided:
- Level 2: 124,000 USD - 195,500 USD
- Level 3: 152,000 USD - 241,500 USD
- You will also be eligible for equity and benefits.
- Applications for this job will be accepted at least until May 15, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.