PeopleofSuperintelligence

Researcher

Nandita Vijaykumar

Nandita Vijaykumar is a computer-systems researcher who designs the hardware, compilers and runtimes that let machines run computer vision, robotics and deep-learning workloads efficiently. Her papers with Onur Mutlu and Phil Gibbons include Zorua, a GPU resource-virtualization framework from 2016, and the Expressive Memory interface from 2018, and she received her Carnegie Mellon PhD in 2020. By 2021, she was an assistant professor at the University of Toronto and was inducted into the ISCA Hall of Fame for publishing at least eight papers at the conference. In 2022, she and Igor Gilitschenski received a Sony Focused Research Award for work on running neural radiance fields for 3D reconstruction on low-power mobile devices. She is an assistant professor of computer science at Toronto, where she leads the embARC research group, and she is also a faculty member at the Vector Institute and a Research Scholar at Amazon.

Badges

Timeline

  1. October 2016

    GPU virtualization with Zorua

    In October 2016, she and coauthors including Phillip B. Gibbons and Onur Mutlu publish Zorua at the International Symposium on Microarchitecture (MICRO). The framework decouples the resource usage a programmer specifies for a GPU application from the allocation in on-chip hardware.

  2. June 2018

    Expressive Memory at ISCA

    In June 2018, she and coauthors including Gennady Pekhimenko, Phillip B. Gibbons and Onur Mutlu publish “A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory” at ISCA. The paper proposes Expressive Memory (XMem), a cross-layer interface built on an abstraction called an Atom, which passes program semantics from the application to the system software and hardware.

  3. 2020

    PhD at Carnegie Mellon

    She receives her PhD and MS from Carnegie Mellon University in 2020, advised by Onur Mutlu and Phil Gibbons. She also works with the Systems Group at ETH Zurich as a visiting student, and has worked at AMD, Intel, Microsoft and Nvidia.

  4. By 2021

    Assistant professor at Toronto

    She works as a research scientist in the Memory Architecture and Accelerator Lab at Intel Labs before joining the University of Toronto. By 2021, she is an assistant professor in the Department of Computer and Mathematical Sciences at U of T Scarborough and in the tri-campus graduate Department of Computer Science.

  5. 2021

    ISCA Hall of Fame induction

    In 2021, she and Gennady Pekhimenko are inducted into the International Symposium on Computer Architecture (ISCA) Hall of Fame for publishing at least eight papers in the conference. Her interests include the system-level and programming challenges of accelerators, memory systems and, more recently, robotics and large-scale machine learning.

  6. 2022

    A Sony Focused Research Award

    She and Igor Gilitschenski jointly receive a 2022 Sony Focused Research Award for a project on efficient online 3D reconstruction on resource-constrained devices using implicit neural representations. The project applies hardware and software co-design to neural radiance fields, a deep learning technique for representing and rendering 3D scenes, to bring them to low-power mobile devices.

  7. As of October 2026

    Leading embARC at Toronto

    She is an assistant professor of computer science at the University of Toronto, where she leads the embARC research group, a faculty member at the Vector Institute for Artificial Intelligence, and a Research Scholar at Amazon. The group's cross-stack co-design work spans algorithms, compilers, runtimes and hardware for 3D reconstruction, differentiable rendering, perception and multi-modal generative models, and she presents it in the talk “From Pixels to Kernels” at Waterloo in October 2025.

Career

  1. NowUniversity of Toronto ScarboroughAssistant Professor
  2. NowUniversity of TorontoAssistant Professor
  3. NowVector InstituteFaculty Member
  4. NowAmazonResearch Scholar
  5. ETH ZurichVisiting Student
  6. IntelResearch Scientist

Education

  1. 2020Carnegie Mellon UniversityPhD

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Nandita Vijaykumar. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Amazon. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Toronto. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Zorua: A Holistic Approach to Resource Virtualization in GPUs - Microsoft Research microsoft.com. Checked 21 October 2026.
  2. A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory - Microsoft Research microsoft.com. Checked 21 October 2026.
  3. Nandita Vijaykumar nandita.cs.toronto.edu. Checked 21 October 2026.
  4. Nandita Vijaykumar - Acceleration Consortium acceleration.utoronto.ca. Checked 21 October 2026.
  5. Two CS faculty inducted into International Symposium on Computer Architecture Hall of Fame web.cs.toronto.edu. Checked 21 October 2026.
  6. Nandita Vijaykumar and Igor Gilitschenski win 2022 Sony Focused Research Award web.cs.toronto.edu. Checked 21 October 2026.
  7. Architecting Efficient and Scalable Systems for Physical Intelligence and Visual Computing | Department of Computer Science and Technology cst.cam.ac.uk. Checked 21 October 2026.
  8. Nandita Vijaykumar - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 21 October 2026.
  9. Seminar • Systems and Networking • From Pixels to Kernels: Architecting Efficient and Scalable Systems for Visual Computing | Cheriton School of Computer Science | University of Waterloo uwaterloo.ca. Checked 21 October 2026.