# Jack Melchert

> Staff Compiler Engineer at Efficient Computer | Stanford PhD

Location: Stanford, California, United States
Profile: https://flows.cv/jackmelchert

## Work Experience
### Senior Compiler Engineer @ Efficient Computer
Jan 2024 – Present | San Jose, California, United States

### Hardware Technology Intern @ Apple
Jan 2024 – Jan 2024 | Cupertino, California, United States

### Research Scholar @ SRC Research Scholars Program
Jan 2022 – Jan 2024

### PHD Student @ Department of Electrical Engineering, Stanford University
Jan 2019 – Jan 2024 | Stanford, CA

### Hardware Technology Intern @ Apple
Jan 2021 – Jan 2021 | Cupertino, California, United States
Hardware Digital Design and Optimization
Hardware Emulation and Analysis

### Web Developer @ University of Wisconsin – Madison Department of Computer Science
Jan 2018 – Jan 2019 | Madison, Wisconsin, United States
• Worked with a development team on creating a website for GonioSense, a wearable-based
system that can track and measure joint motions for patients undergoing physical therapy
• Created an intuitive website for patients and physicians to track and analyze goniometer
measurements
• Developed and maintained the website using Angular as a front-end framework and Firebase as
the back-end

### Research Assistant @ University of Wisconsin – Madison Department of Computer Engineering
Jan 2018 – Jan 2019 | Madison, Wisconsin, United States
• Researched low power embedded system design and approximate computing
• Created an award-winning demonstration of a low power approximate serial bus (AxSerBus) by
programming an FPGA and microcontroller using Verilog and C++
• Helped design a dynamically adjustable low power approximate division circuit (SAADI) using
Verilog
• Simulated and synthesized this circuit using MATLAB, Modelsim, and Synopsis Design
Compiler

### Research Assistant @ University of Wisconsin – Madison Department of Computer Engineering
Jan 2017 – Jan 2018 | Madison, Wisconsin, United States
• Researched Electronic Design Automation through a Research Experiences for Undergraduates
(REU) grant from the NSF
• Wrote programs in TCL and C++ to increase the security of microprocessor manufacturing as
well as identify design rule violations
• Collected data using TCL scripting with the Olympus SoC tool from Mentor Graphics
• Designed and ran experiments using machine learning to aid in the routing of microprocessors
• Became familiar with neural network modeling tools such as Neupy and worked on modeling
design rule violations using Deep Neural Networks

### Research Assistant @ University of Wisconsin – Milwaukee Department of Physics
Jan 2016 – Jan 2016 | Milwaukee, Wisconsin, United States
• Worked with a theoretical physicist and graduate student on the fermi surface representations of
low temperature superconductors
• Independently created 3D representations of fermi surfaces in the superconducting state using
Mathematica, MATLAB, and Python
• These visualizations were used to provide insight into the properties of these superconductors
and how new low temperature superconductors could be identified


## Education
### Doctor of Philosophy - PhD in Electrical and Electronics Engineering
Stanford University

### Bachelor's degree in Electrical and Computer Engineering, Computer Science
University of Wisconsin-Madison


## Contact & Social
- LinkedIn: https://linkedin.com/in/jack-melchert-a97475226

---
Source: https://flows.cv/jackmelchert
JSON Resume: https://flows.cv/jackmelchert/resume.json
Last updated: 2026-04-01