NVIDIA→
Senior Systems Software Engineer - New College Grad… at NVIDIA · US
Entry LevelOn-siteFull-timeUS, OR, Hillsboro$124k–$196k/yr
Skills
advanced computational methodssemiconductor manufacturingmachine learning/ai techniquesdeep learning fundamentalsparallel programming (cuda)performance optimizationalgorithmsdata structures
Job Description
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 innovation in GPU software solutions.
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: Advanced computational methods, Semiconductor manufacturing, Machine Learning/AI techniques
Important Skills: Deep learning fundamentals, Parallel programming (CUDA), Performance optimization
Nice-to-Have Skills: Algorithms, data structures
Benefits: Equity, Benefits
Benefits
Equity
Benefits