Boyana Norris

About Boyana Norris

Current: Design and implementation of LLVM MLIR-based compilers and runtimes for custom hardware. Creating SDKs to interface the compiler with popular AI frameworks & runtimes.My academic research was in the area of enabling technologies for high-performance simulations in computational science and engineering, with an emphasis on automation of the development, deployment, testing, and performance tuning of parallel applications. Specific research areas include (1) source code analysis and transformation, specifically on automatic differentiation, performance analysis, and annotation-guided code tuning;(2) embeddable domain-specific languages for high-performance computing; and (3) quality of service infrastructure for scientific components, for optimizing performance, energy use, and resilience of complex applications.Specialties: software engineering, component software, parallel applications, performance analysis and tuning, compilers, scientific computing

Experience

1. Senior Staff Software Engineer

   Tenstorrent

   Sep 2025 — Present · Toronto, CA, US

Education

• Wake Forest University

  B.S., Computer Science

  1993 — 1995

• University of Illinois Urbana-Champaign

  Ph.D., Computer Science

  1995 — 1999

Skills

• Compiler Construction
• Data Mining
• Computer Architecture
• Algorithms
• Distributed Systems
• Gpgpu
• Parallel Programming
• Software Engineering
• Numerical Analysis
• Grid Computing
• Mpi
• Performance Tuning
• Parallel Computing
• Numerical Simulation
• Openmp
• Applied Mathematics
• Fortran
• Simulations
• Compilers
• Cuda
• Supercomputing
• Computer Science
• Mathematical Modeling
• Parallel Algorithms
• High Performance Computing
• Image Processing
• Machine Learning
• Scientific Computing
• Optimization
• Python
• Latex