# John Hogan

> sensor software for AV @ Wayve

Location: San Francisco, California, United States
Profile: https://flows.cv/johnhogan

Generalist embedded SW engineer and team player with experience in autonomous vehicles, sensors, and AI accelerator ASICS. I enjoy working at the intersection of compute, sensing, and signal processing/ML. Experienced working in early stage startups and big tech.

## Work Experience
### Software Engineer @ Wayve
Jan 2025 – Present | San Francisco Bay Area
Developing software modules to interface with various sensors for Wayve's internal autonomous vehicle fleet

### Senior II Embedded Software Engineer @ Cruise
Jan 2022 – Present | San Francisco, California, United States
- Own all lidar interface SW applications, which controls lidar and publishes sensor data and diagnostics. Lead team of ~3 engineers
- Designing software components for low latency and safety requirements and deploy to resource constrained platforms.
- Understand needs of cross-functional stakeholders and make sure they are met

### HW/SW Co-Design Engineer @ Perceptive
Jan 2020 – Jan 2022 | San Francisco Bay Area
- Designed, architect, and implement hardware/software systems for a sensing-for-autonomy platform at a fast paced seed stage startup.
- Responsible for bringup of new FPGA and GPU compute platforms, HW/SW co-design, accelerating signal processing workloads for our lidar and radar sensors, and embedded SW applications (bare metal and freeRTOS) 
Tools: Xilinx toolchain, ROS2, CUDA, freeRTOS, SystemVerilog, C++, Python

### Machine Learning Architecture Modeling Engineer @ Intel Corporation
Jan 2018 – Jan 2020 | San Francisco Bay Area
- Developed a near-cycle accurate C++/SystemC simulator for the Intel/Nervana AI Training ASIC.
- Collaborated with kernels team to optimize common ML primitives
- Collaborated with architects to generate projections and inform next-gen architectural decisions

### Wireless RTL Design Engineer @ Intel Corporation
Jan 2016 – Jan 2018 | San Francisco Bay Area
Digital design and RTL of baseband PHY-layer modem blocks for a FPGA prototyping platform. Team demonstrated the first ever multi-vendor 5G interoperability test of 5G NR.

### Research Assistant @ University of Wisconsin-Madison
Jan 2014 – Jan 2016
Research next-gen PHY layer baseband algorithms with a focus on beamforming and channel estimation. Published in Conference on Information Science and Systems (CISS). Implemented and prototyped these algorithms on a HW testbed with FPGAs


## Education
### M.S. in Electrical Engineering
University of Wisconsin-Madison

### BS in Electrical Engineering
University of Illinois Urbana-Champaign


## Contact & Social
- LinkedIn: https://linkedin.com/in/johnphogan

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Source: https://flows.cv/johnhogan
JSON Resume: https://flows.cv/johnhogan/resume.json
Last updated: 2026-04-11