Systems Software Engineer

What you'll do

• Develop advanced computational methods for semiconductor manufacturing and design.
• Leverage GPU technology to accelerate software solutions for the semiconductor industry.
• Implement machine learning and deep learning techniques to improve fabrication processes.
• Perform low-level performance optimizations including memory management and workload balancing.
• Develop algorithms and data structures to solve complex technical challenges.
• Utilize parallel programming models like CUDA to accelerate computational methods.
• Create and execute strategies to move products from invention to production.

What we're looking for

• Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
• Experience developing and delivering complex software solutions for semiconductor fabrication and design.
• Research and/or industry experience working on advanced computational and AI systems.
• Exposure to ML/AI techniques, deep learning fundamentals, and model optimization.
• Demonstrated ability in low-level performance optimization, including memory management and workload balancing for distributed systems.
• Ability to quickly ramp up on parallel programming models like CUDA.
• Strong foundation in algorithms, data structures, and computational theory to solve complex algorithmic challenges.