Adam Wolnikowski

GitHub - LinkedIn - Email

About Me

I offer integration software expertise informed by my experience spanning many levels of the computing stack including cutting-edge computer architecture research, high-performance HDL design for FPGAs, embedded systems software programming, and seamless sensor integrations. I excel in creating and optimizing software that underpins high-performance, reliable sensor systems for diverse applications. My thorough understanding of both hardware and software systems positions me uniquely to handle complex problems, and I pride myself on being an extremely fast learner that can rapidly ramp-up on new projects.

I currently have an active Top Secret USDOD clearance.

Experience

Anduril - Software Engineer - April 2022 to Present

Led camera integrations for the Sentry sensor tower in C++ and Rust, working closely with adjacent perception, tracking and estimation, video processing, imaging, and optics teams.
Built internal tools for camera management, testing, and calibration.
Created metrics and dashboards in Datadog in order to scale a fleet of hundreds of sensors and enable observability for non-technical personnel.
Managed customer, vendor, and third-party integrator relationships.
Learned ITAR and EAR export controls, as well as procedures for classified information and CUI.

Humatics - Associate Embedded Systems Engineer - June 2021 to April 2022

Led implementation of high-throughput FPGA data acquisition and signal processing pipeline in Verilog and Xilinx IP, deployed on a Zynq-7000 SoC.
Wrote bare metal and embedded Linux firmware in C and C++ for controlling and testing FPGA coprocessor, with DMA data transfer.
Built Vivado compilation and simulation flows with TCL, Python, and Bash scripts.
Assisted with board bring-up and full product lifecycle development.
Coordinated with multiple FPGA design contractors and scoped, tested, and integrated their deliverables.

NVIDIA - System Software Intern - May 2019 to August 2019

Designed ImagePyramid feature in NvMedia library used for image processing in autonomous vehicles on the Jetson platform, focused on efficient memory management in C and C++.
Implemented integration tests for NvMedia and NvSci libraries.
Documented interface specification for NvMedia Deep Learning Accelerator API.
Learned the ISO 26262 safety standard for automotive software.

Yale CASLab - Hardware Security Undergraduate Researcher - May 2020 to May 2021

Led a project investigating side-channel attacks on commercial inference accelerators in cloud environments.

Yale CASLab - Undergraduate Research Assistant - August 2018 to May 2020

Adapted cryptographic hardware accelerators for use on Amazon EC2 F1 instances (cloud FPGAs).
Designed and adapted accelerators in Vivado and deployed them on Zynq-7000 and Pynq FPGA SoCs.

Yale EENG 428 "Cloud FPGAs" - Undergraduate Learning Assistant - August 2019 to December 2019

Held office hours attended by undergraduate and graduate students.
Helped students with Verilog, computer architecture, and tools and workflows for FPGAs and AWS.
Assisted Prof. Jakub Szefer with class assignments and projects.

Technical Proficiencies

Languages: C, C++, Python, Rust, Bash, Verilog, SystemVerilog, TCL

Tools: Git, Linux, GDB, Valgrind, Perf, Pin, CMake, Bazel, Vivado/Vitis, AWS, Jira

Platforms: NVIDIA Jetson (Nano | TX2 | Xavier | Orin), Xilinx Zynq (7000 | UltraScale+) and Varium

Integrations: EO/IR Optics, Lidar, Radar, Laser Range Finders, Laser Designators, IMUs, GPS/GNSS Receivers, ADS-B/AIS Receivers, Bluetooth and Custom RF Transponders, Pan/Tilt Units and Gimbals, Motor Controllers, Encoders, Ultrasonic Sensors

Publications

Zerializer: Towards Zero-Copy Serialization. Adam Wolnikowski, Stephen Ibanez, Jonathan Stone, Changhoon Kim, Rajit Manohar, and Robert Soulé. 18th ACM Workshop on Hot Topics in Operating Systems (HotOS '21), May 2021.

Remote Power Attacks on the Versatile Tensor Accelerator in Multi-Tenant FPGAs. Shanquan Tian, Shayan Moini, Adam Wolnikowski, Daniel Holcomb, Russell Tessier, Jakub Szefer. 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM '21), May 2021.

Building an Internet Router with P4Pi. Radostin Stoyanov, Adam Wolnikowski, Robert Soulé, Sándor Laki, Noa Zilberman. 4th European P4 Workshop, in conjunction with ACM/IEE ANCS '21 (EuroP4 '21), December 2021.

Awards

Yale Department of Computer Science Prize - Research - May 2021

Best Use of Machine Learning to Improve Remote Control Performance - YHack - December 2018

FIRST Robotics Competition Dean's List Finalist - April 2016

References

Available upon request.

I like embedded systems; I like simplicity and efficiency:
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