GPU-Accelerated AI Systems Engineer (New Grad)

NVIDIA Corporation; Hillsboro (OR); On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA Corporation in Hillsboro, Oregon, is seeking a highly motivated Systems Software Engineer for New College Grad. You will work on advanced computational methods for semiconductor manufacturing and design, leveraging GPU acceleration to build scalable software solutions and push innovation in AI and distributed systems.

The role emphasizes rapid learning, research-like exploration, and contributing to production-grade software that accelerates yield and market speed.

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 network architectures and model optimization.
• Demonstrated ability in low-level performance optimization, including memory management, cache optimization, and load balancing for scalable distributed systems.
• Ability to ramp quickly on parallel programming models like CUDA to accelerate computational methods.

Responsibilities

• Develop industry-leading advanced computational methods for semiconductor manufacturing and design.
• Exploit GPU potential to accelerate software solutions.
• Help sustain semiconductor innovation by increasing yield and time to market.

Skills

MS/PhD requirement

AI systems experience

Algorithms and data structures

Parallel programming

Low-level optimization

Education

MS/PhD in Computer Science or Computer Engineering

Tools

CUDA

Distributed systems

Job description

NVIDIA Corporation in Hillsboro, Oregon, is seeking a highly motivated Systems Software Engineer for New College Grad. You will work on advanced computational methods for semiconductor manufacturing and design, leveraging GPU acceleration to build scalable software solutions and push innovation in AI and distributed systems.

The role emphasizes rapid learning, research-like exploration, and contributing to production-grade software that accelerates yield and market speed.