Job Summary:
NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join their team, focusing on advanced computational methods for semiconductor manufacturing and design.
Responsibilities:
โข Working with some of the best technologists in the world to build industry-leading advanced computational methods for advanced semiconductor manufacturing and design.
โข Exploiting the potential of the GPU to dramatically accelerate these software solutions.
โข Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.
Qualifications:
Required:
โข Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
โข Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
โข Research and/or industry experience working on advanced computational and AI systems.
โข 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.
โข Demonstrated ability in low-level performance optimization, including algorithm development, memory management, cache compression, and work-load balancing for scalable, distributed systems.
โข Ability to quickly ramp up on parallel programming models like CUDA, to accelerate computational methods.
โข Ability to solve complex algorithmic challenges and technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.