Senior Systems Software Engineer - New College… at NVIDIA · Hillsboro

Summary: NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. They are seeking a highly motivated Systems Software Engineer - New College Grad to work on advanced computational methods for semiconductor manufacturing and design, driving industry-leading innovation from invention to production. Responsibilities: - Working with some of the best technologists in the world to build industry-leading advanced computational methods for advanced semiconductor manufacturing and design - Exploiting the potential of the GPU to dramatically accelerate these software solutions - Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market Required Qualifications: - Pursuing or recently completed a 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 work-load 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 Required Skills: Software development, Semiconductor fabrication, Advanced computational methods, Artificial intelligence, Machine learning, Deep learning, Neural network architectures, Model optimization, Backpropagation, Algorithm development, Memory management, Cache compression, Workload balancing, Distributed systems, Parallel programming, CUDA, Algorithms, Data structures, Computational theory, Innovation, Autonomy Benefits: Equity, Benefits