Systems Software Engineer - New College Grad 2026

About the role

The Advanced Technology Group at NVIDIA is seeking a highly motivated Systems Software Engineer - New College Grad to join our team. This role involves working with leading technologists to develop advanced computational methods for semiconductor manufacturing and design, leveraging the GPU to accelerate these solutions.

Responsibilities

• Developing and delivering complex software solutions for semiconductor fabrication and design.
• Exploiting the GPU's potential to accelerate these software solutions.
• Ensuring the cadence of semiconductor innovation by accelerating yield and time to market.

Requirements

• 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 semiconductor fabrication and design.
• Research and/or industry experience in advanced computational and AI systems.
• Exposure to ML/AI techniques and deep learning fundamentals, including 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.

Qualifications

• Experience in developing and delivering complex software solutions for semiconductor fabrication and design.
• Research and/or industry experience in advanced computational and AI systems.
• Exposure to ML/AI techniques and deep learning fundamentals, including 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.

Skills

• Experience in developing and delivering complex software solutions for semiconductor fabrication and design.
• Research and/or industry experience in advanced computational and AI systems.
• Exposure to ML/AI techniques and deep learning fundamentals, including 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.

Benefits

• NVIDIA offers a competitive base salary range of $124,000 - $195,500 for Level 2 and $152,000 - $241,500 for Level 3.
• Equity and benefits are also provided.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This role is located in Hillsboro, Oregon.

Contact

If you're interested in applying for this position, applications will be accepted until May 15, 2026. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.