Shane Licari
Scottsdale
Summary
Results-driven Software Engineering Lead with 7+ years of experience in developing advanced control systems, software solutions, and data engineering frameworks. Skilled in leading teams, designing scalable architectures, and optimizing system performance. Adept at solving complex challenges using cutting-edge technologies, fostering cross-functional collaboration, and driving innovation in software development and machine learning applications. Proven ability to deliver high-impact solutions that enhance reliability, efficiency, and scalability across diverse platforms.
Overview
8
8
years of professional experience
Work History
Lead Software Engineer - ADAS/AD
Nikola Motor Company
04.2020 - Current
- Led the full lifecycle development of Adaptive Cruise Control (ACC) for the Tre FCEV platform, from requirements gathering to production deployment.
- Designed and implemented a model predictive controller, optimizing ACC performance across the full-speed range while enhancing memory efficiency and real-time execution on embedded ECUs.
- Developed a Python-based vehicle simulator for Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing, significantly accelerating validation cycles.
- Built and deployed CI/CD pipelines for automated software testing, reducing manual testing efforts and expediting feature delivery.
- Architected an automated data pipeline in Python on AWS, improving fleet validation reliability across 75+ trucks.
- Engineered data mining frameworks that enhanced ADAS fault monitoring and reduced issue resolution times.
- Applied machine learning techniques for traffic sign recognition and computer vision for lane detection, improving autonomous driving capabilities.
- Partnered with cross-functional teams to ensure seamless integration of hardware, software, and validation processes, driving overall system performance and reliability.
ADAS Validation Engineer
Daimler Trucks North America
07.2018 - 03.2020
- Conducted on-road and track testing to validate camera-based ADAS features, including drowsy driver monitoring, lane departure warning, adaptive cruise control, and automatic emergency braking.
- Designed and implemented a Python-based data pipeline for automated processing, mining, and visualization, reducing issue reporting time and improving debugging efficiency.
- Developed a machine learning validation pipeline for traffic sign recognition, minimizing manual validation efforts and streamlining quality assurance workflows.
- Gained hands-on operational insights by obtaining a CDL and conducting real-world testing on Class 8 commercial trucks, improving system validation and performance assessment.
Powertrain Validation Engineer Intern
Daimler Trucks North America
06.2017 - 12.2017
- Developed MATLAB-based data mining tools to analyze vehicle performance, enhancing analysis accuracy and processing efficiency.
- Performed root cause analysis and feature testing for axle and fuel level systems, improving system reliability and reducing failure rates.
Education
Masters - Artificial Intelligence
The University of Texas At Austin
03-2027
Bachelor's - Electrical & Computer Engineering, Computer Science
Oregon State University
06.2018
Skills
- Programming & Data Engineering: Python, C/C, SQL, MATLAB, AWS, PostgreSQL
- Machine Learning & Data Science: PyTorch, TensorFlow, Computer Vision, Data Mining, Model Training & Validation
- ADAS & Control Systems: ADAS Development & Validation, SIL/HIL Testing, Control System Design, Model Predictive Control, Sensor Fusion
- Tools & Platforms: ROS, CARLA, CI/CD Pipelines, Embedded Systems, Cloud Computing
Additional Projects
Battery Electric Vehicle Control System – OSU ASME
Electrical Engineer
- Designed and implemented hardware and firmware for a vehicle control system, integrating motor controllers to develop an electronic differential for improved efficiency.
- Developed and validated a cruise control system in C, utilizing MATLAB-based vehicle simulations to refine performance.
- Optimized vehicle performance, contributing to a 2nd place finish in the Shell Eco Marathon – Prototype Division.
Timeline
Lead Software Engineer - ADAS/AD
Nikola Motor Company
04.2020 - Current
ADAS Validation Engineer
Daimler Trucks North America
07.2018 - 03.2020
Powertrain Validation Engineer Intern
Daimler Trucks North America
06.2017 - 12.2017
Masters - Artificial Intelligence
The University of Texas At Austin
Bachelor's - Electrical & Computer Engineering, Computer Science
Oregon State University
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