# Aneesh Sampath > Senior Software Engineer, Perception ML at Aurora Location: New York, New York, United States Profile: https://flows.cv/aneeshsampath Versatile and mission-driven engineer with 7 years of experience in both hardware and software engineering. Currently I'm working as a software engineer at Aurora, working on autonomous vehicles. Previously I've worked as a software engineer at Forward, rebuilding a primary healthcare system from first principles. Before that, I spent 2.5 years at Tesla working on autonomous vehicle hardware, specifically camera systems. I've been fortunate to have exposure to a wide range of industries spanning healthcare, autonomous vehicles, aerospace, and wireless, along with technical experience across the stack. My primary motivator is leveraging technology to solve meaningful problems and build valuable applications for society. ## Work Experience ### Senior Software Engineer @ Aurora Jan 2023 – Present | San Francisco Bay Area ML Training and Dataset Curation team. Focusing efforts on long range perception and camera + lidar fused ML models. ### Software Engineer @ Forward Jan 2019 – Jan 2022 | San Francisco Bay Area Rebuilding a primary healthcare system from first principles ### Autopilot Hardware Engineer @ Tesla Jan 2016 – Jan 2018 | San Francisco Bay Area - Engineer focused mainly on Autopilot sensors, specifically Camera and Radar systems, with broad exposure to various applications such as Audio, Display, and LTE wireless, while being involved in both R&D and Manufacturing stages of the product life cycle. - Lead engineer on the factory camera calibration software for the Model 3 to unblock launch of vehicle production - Developed firmware for a novel high-speed data transport architecture from camera and radar sensors on custom silicon (SoC) ### Software Engineering Intern @ SpaceX Jan 2015 – Jan 2015 | Waco, Texas Area Software group at SpaceX's rocket testing facility, that is responsible for building ground control software, GUIs, and data acquisition systems using LabVIEW ### Cognitive Radio Research – Rice Wireless Networks Group @ Rice University Jan 2015 – Jan 2015 • Spectrum Sensing of Wireless Microphone Signals in TV Band White Space for Cognitive Radio • Implemented a statistical based detection algorithm on hardware analyzing the covariance matrix of received signals. • This project aims to understand the signal and protocols used by a wireless microphone, and learn how to avoid the signal in TV Band White Space, to enable a white space device. ### NCAA Division 1 Student Athlete - Cross Country, Track and Field @ Rice University Jan 2011 – Jan 2015 • A rigorous 20 hour per week year round commitment of practice, travel, etc. • Competed in the 1500m, 5km, 10km races ### ParkiT- Undergraduate Capstone Design @ Rice University Jan 2014 – Jan 2015 • Computer Vision project which uses a machine learning algorithm to accurately detect open parking spots at various camera angles, weather conditions, and times of day. * Achieved a >99% daytime detection accuracy. Team installed a system in the main Rice University parking lot with a real-time user interface showing the occupancy of the parking lot on a per spot basis. ### Tutor for Rice Athletics @ Rice University Jan 2012 – Jan 2014 | Rice University Tutored Student Athletes in Differential Equations, and Linear Algebra ### Engineering Intern @ Siemens Jan 2014 – Jan 2014 • Designed and implemented a camera triggering control system using an Arduino microcontroller. This system is designed for the purpose of inspecting gas turbine blades. • Developed a UI in LabVIEW to interact with a Blackbody furnace for automation of temperature calibration. ### Engineering Intern @ Telephonics Corporation Jan 2013 – Jan 2013 | Farmingdale, NY • Developed an digital communication driver in LabVIEW. • This routine could be adapted to any certain protocol.Specifically sent bit packets that contained instructions for an operator panel of audio headsets used on an aircraft. • Programmed to FPGA hardware (NI RIO Card) ### Engineering Intern @ ReliaCoat Technologies Jan 2012 – Jan 2012 | Setauket • Developed a computer vision software using Matlab for thermal spray particle image velocimetry. ## Education ### Bachelor of Science (B.S.) in Electrical and Computer Engineering (Major) Rice University ### Electrical and Computer Engineering Stanford University Center for Professional Development ## Contact & Social - LinkedIn: https://linkedin.com/in/aneesh-sampath --- Source: https://flows.cv/aneeshsampath JSON Resume: https://flows.cv/aneeshsampath/resume.json Last updated: 2026-03-22