# Parthiv Parikh > Senior Autonomous Vehicles Software Engineer - Perception at NVIDIA Location: San Francisco Bay Area, United States Profile: https://flows.cv/parthiv I am a Master's in Computer Engineering student at New York University. I have worked as a Graduate Research Assistant and I am currently interning at NVIDIA as an Autonomous Vehicles Software Engineering Intern. At NYU, I was able to gain hands on experience in the field of Machine Learning through the Deep Learning and Machine Learning courses. I was able to strengthen my fundamentals in Computer Engineering through courses like Computing Systems architecture and Data structure and algorithms. At NVIDIA, I have had the opportunity to work with multiple teams within the Autonomous Vehicles department. My projects included coding in C++, Python, C and shell. I have experience working on object tracking algorithms, machine learning infrastructure as well as general software engineering projects. I love searching for creative solutions to a problem. My colleagues describe me as competitive, down to earth and reliable. I believe every opportunity I have is a learning opportunity for me and I treat it likewise. ## Work Experience ### Senior Autonomous Vehicles Software Engineer - Perception @ NVIDIA Jan 2021 – Present ### Autonomous Vehicles Software Engineer - Perception @ NVIDIA Jan 2019 – Jan 2021 | Santa Clara ### Autonomous Vehicle Perception Intern @ NVIDIA Jan 2019 – Jan 2019 | Santa Clara • Working on improving the existing implementation of Object Tracker. • Assisting on testing Automatic Emergency Braking and other safety features. ### Software Engineer - Autonomous Driving Intern @ NVIDIA Jan 2018 – Jan 2018 | Holmdel, NJ I had the opportunity to work with the Pilotnet team at NVIDIA. My work included: • Performing experiments to understand the effects of noise in training data on the neural network performance in order to find clear benchmarks for rejecting noisy data from sensors. • Performing experiments to understand the importance of perturbation and diversity in data and analyzed its impact on model KPIs. • Assisting in developing prototype for RC car to test transfer learning ### Software Engineering Intern, Automotive Firmware @ NVIDIA Jan 2018 – Jan 2018 | Santa Clara, CA My work with the Automotive firmware department focussed on maintaining APIs for Programmable Vision Accelerator(PVA) and Deep Learning Accelerator(DLA) in the NVIDIA DRIVE Xavier boards. I worked on: • Building test application for the PVA and DLA on NVIDIA's Tegra SoC. • Developing APIs to access the scratchpad memory at the user level. ### Graduate Research Assistant @ New York University - Polytechnic School of Engineering Jan 2017 – Jan 2018 | Greater New York City Area I contributed to multiple projects in the field of Controls, Computer Vision and Robotics. Some projects I worked on included: • Developed a working prototype of a 1/10th scale autonomous vehicle to detect lane and communicate with other vehicles around it. • Assisted on research based on data driven control of connected autonomous vehicles. • Assisted in setting up an environment to transfer learning from simulation to real vehicles. ## Education ### Master of Science - MS in Computer Engineering NYU Tandon School of Engineering ### B.E.(Electronics) in Electronic Dwarkadas J. Sanghvi College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/parthiv-parikh --- Source: https://flows.cv/parthiv JSON Resume: https://flows.cv/parthiv/resume.json Last updated: 2026-03-29