Systems Software Engineer - New College Grad 2026
NVIDIAJob Title
Systems Software Engineer - New College Grad 2026
Role Summary
Join the Advanced Technology Group to develop systems and software that accelerate computational methods for semiconductor manufacturing and design. Work in a small, technical team to prototype and productionize high-performance GPU-accelerated solutions.
Experience Level
Entry-level (new college graduate). Suitable for candidates recently completed or pursuing graduate study or with equivalent early-career experience.
Responsibilities
Primary responsibilities include research, implementation, and performance optimization of computational methods for semiconductor processes.
- Design and implement advanced computational methods to improve semiconductor manufacturing yield and time-to-market.
- Accelerate algorithms using GPU programming and parallel computation techniques.
- Optimize low-level performance: algorithm design, memory management, cache strategies, and workload balancing for scalable systems.
- Collaborate with cross-functional engineers to move solutions from research to production.
- Troubleshoot complex algorithmic and system-level problems with minimal supervision.
Requirements
Must-have technical skills and experience; concise list below. Preferred items are noted when applicable.
- Experience developing or delivering complex software for semiconductor fabrication or design (research or industry projects).
- Experience or coursework in advanced computational systems and AI; familiarity with ML/deep learning fundamentals and common architectures.
- Demonstrated low-level performance optimization skills (algorithms, memory/cache considerations, scalability).
- Familiarity or ability to learn CUDA and parallel programming models quickly.
- Strong foundation in algorithms, data structures, and computational theory; ability to solve complex technical problems independently.
- Nice to have: prior work on distributed systems, model optimization techniques, or semiconductor-specific computational methods.
Education Requirements
Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering, or equivalent practical experience. (Source also indicates equivalent experience is acceptable.)
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
