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Tom St. John Email & Phone Number
Affiliated Faculty
at
University of Delaware
1 work email found
@getcruise.com
2 phones found area 408
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Affiliated Faculty
Location
Mountain View, California, United States
Who is Tom St. John? Overview
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Quick answer
Tom St. John is listed as Affiliated Faculty at University of Delaware, based in Mountain View, California, United States. AeroLeads shows a work email signal at getcruise.com, phone signal with area code 408, and a matched LinkedIn profile for Tom St. John.
Tom St. John previously worked as Co-Founder and CTO at Decompute and Chair, Automotive Advisory Board at Mlcommons. Tom St. John holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from University Of Delaware.
Company email context
Email format at University of Delaware
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*@getcruise.com
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AeroLeads found 1 current-domain work email signal for Tom St. John. Compare company email patterns before reaching out.
Profile bio
About Tom St. John
I am a computer scientist specializing in hardware/software co-design for high performance computing (HPC) and deep learning on extreme-scale architectures. My primary interests are parallel programming models, runtime systems, compilers, computer architecture, scalable algorithms, and energy-efficient computing.
Listed skills include Parallel Computing, High Performance Computing, Computer Architecture, Algorithms, and 27 others.
Current workplace
Tom St. John's current company
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18 roles · 20 years
Tom St. John work experience
A career timeline built from the work history available for this profile.
Co-Founder And Cto
Current
2024 - Present
~2 yrs 4 mos
Chair, Automotive Advisory Board
Current
2020 - Present
~6 yrs 4 mos
Founding Member
Current
2018 - Present
~8 yrs 4 mos
Software Engineer And Technical Lead
Technical Lead, MTIA Training Performance; PyTorch AI AccelerationLed ML training performance optimization efforts throughout the MTIA software stack and leveraged performance data to drive hardware/software co-design of next-generation AI accelerators
2023 - 2024
~1 yr
Principal Machine Learning Systems Engineer
Technical Lead, Performance; Applied Compiler EngineeringLed efforts to optimize performance of large language models
2022 - 2023
~1 yr
Senior Ml/Robotics Engineer Ii
Technical Lead, Compute Platforms; Machine Learning Accelerators DivisionLed project to evaluate feasibility of replacing x86-based host CPUs in future autonomous driving platforms with Arm architectures and selected Arm CPU for future AV compute platform
2021 - 2022
~1 yr
Staff Software Engineer
Built LLVM compiler backend for Tesla's proprietary machine learning training accelerator (Dojo)
2020 - 2020
Staff Machine Learning Scientist
Led distributed machine learning performance optimization efforts
2019 - 2020
~1 yr
Director, Wave Ai Co-Design Center
Analyzed AI workloads to drive design decisions for future Wave architectures and associated software frameworks.
2018 - 2018
Principal Deep Learning Software Architect
Technical Lead, Agent LibrariesDesigned and built backend computational kernels and data movement libraries to support deep learning software frameworks (TensorFlow, Keras) targeting massively parallel dataflow-based machine learning accelerators.
2017 - 2018
~1 yr
Senior Research Scientist
Artificial Intelligence Lab; Computing Science Innovation CenterDeveloped scalable HPC math libraries using MPI and CUDA to enable distributed deep learning on large-scale multi-GPU systems.
2016 - 2017
~1 yr
Hpc Software Engineer
Systems Engineering, Architecture and Runtimes; Technical Computing, Analyzers and Runtimes (Intel Federal)Senior member of U.S. Department of Defense hardware/software co-design project targeting next-generation HPC platforms at extreme scale. Responsibilities included parallel programming model design and implementation, HPC fabric pathfinding, and.
2014 - 2016
~2 yrs
Graduate Teaching Assistant
CPEG202 - Introduction to Digital SystemsCPEG222 - Microprocessor SystemsCPEG323 - Introduction to Computer Systems EngineeringCPEG621 - Compiler DesignELEG310 - Random Signals and NoiseELEG652 - Principles of Parallel Computer Architectures
2007 - 2014
~7 yrs
Graduate Research Assistant
Computer Architecture and Parallel Systems Laboratory
2006 - 2014
~8 yrs
Ph.D. Intern
High Performance Computing; Advanced Computing, Mathematics and Data DivisionConducted parallel programming model and computer architecture research to develop automated optimization techniques targeting future Exascale architectures as part of Intel-led team in support of the U.S. Department of Energy ASCR X-Stack program.
2013 - 2013
Graduate Intern
High Performance Computing Division (HPC-5)Developed high performance I/O system leveraging SSD technology.
2009 - 2009
Student Developer
Google Summer of CodeProposed open-source research project titled "Implementation of a Static Analysis Phase for Detecting Potential Memory Leaks and Duplicate Free Bugs" which was selected for funding by Google (16% acceptance rate).
2008 - 2008
7 education records
Tom St. John education
Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering
University Of Delaware
Master'S Degree, Electrical And Computer Engineering
University Of Delaware
Master'S Degree, Computer And Information Sciences
University Of Delaware
Bachelor'S Degree, Electrical And Computer Engineering
Rutgers University
Bachelor'S Degree, Computer Science
Rutgers University
Bachelor'S Degree, Economics
Rutgers University
High School
The Charter School Of Wilmington
FAQ
Frequently asked questions about Tom St. John
Quick answers generated from the profile data available on this page.
What company does Tom St. John work for?
Tom St. John works for University of Delaware.
What is Tom St. John's role at University of Delaware?
Tom St. John is listed as Affiliated Faculty at University of Delaware.
What is Tom St. John's email address?
AeroLeads has found 1 work email signal at @getcruise.com for Tom St. John at University of Delaware.
What is Tom St. John's phone number?
AeroLeads has found 2 phone signal(s) with area code 408 for Tom St. John at University of Delaware.
Where is Tom St. John based?
Tom St. John is based in Mountain View, California, United States while working with University of Delaware.
What companies has Tom St. John worked for?
Tom St. John has worked for University Of Delaware, Decompute, Mlcommons, Meta, and Octoml.
How can I contact Tom St. John?
You can use AeroLeads to view verified contact signals for Tom St. John at University of Delaware, including work email, phone, and LinkedIn data when available.
What schools did Tom St. John attend?
Tom St. John holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from University Of Delaware.
What skills is Tom St. John known for?
Tom St. John is listed with skills including Parallel Computing, High Performance Computing, Computer Architecture, Algorithms, C, Computer Science, Parallel Programming, and Mpi.
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