# Eric Yang > Autonomous Driving Location: San Francisco Bay Area, United States Profile: https://flows.cv/ericyang1 ## Work Experience ### Autonomous Driving Software Engineer @ NVIDIA Jan 2020 – Present ### Information Technology Assistant @ SRI International Jan 2020 – Jan 2020 | Menlo Park, California, United States • Updated compute infrastructure to Ubuntu 18.04 while maintaining functionality of tools and pipelines for medical image processing and machine learning, transitioning all 12 workstations to LTS and establishing 2 new compute server nodes. ### Course Assistant @ Stanford University Jan 2018 – Jan 2019 | San Francisco Bay Area • Conducted instruction through office hours, labs, discussion sessions, online assistance, and grading feedback, allowing students to access and grasp CS 107/107E Computer Systems material easily and efficiently: C, ASM (ARM/x86), systems, sensors, graphics, coding style, etc. • Managed student repositories to deploy, review, and autograde assignments using Github and Python. ### Autonomous Driving Software Intern @ NVIDIA Jan 2019 – Jan 2019 | Holmdel, NJ • Developed solutions to further optimize trajectory prediction neural network for FP16 and INT8 inference on Drive AGX platform, resulting in over 2.0x speedup over previously optimized models. • Implemented workflow to reduce quantization error in INT8 models through quantization-aware training in PyTorch and per tensor calibration in TensorRT (C++). ### GPU Board Operations Software Intern @ NVIDIA Jan 2018 – Jan 2018 | Santa Clara, CA • Created deep learning workflow from scratch for screening GPUs by capturing frames from traces with DirectX, training networks, and setting performance metrics and benchmarks (Python and C++). • Developed deep learning solutions on Keras + Tensorflow for supervised and unsupervised anomaly detection in high-resolution frames, validating GPUs on non-deterministic apps with >90% accuracy. ### Embedded Storage Software Engineering Intern @ Apple Jan 2017 – Jan 2017 | Cupertino, CA • Developed system for automated simulation and analysis of NAND storage firmware in Python and C, upgrading the infrastructure to effectively evaluate the performance impact of software changes. • Programmed infrastructure to filter real user workloads, build controlled test environments, and analyze performance data, enhancing the development process of tuning algorithms and parameters. ### Hybrid Powertrain Development & Controls Engineering Co-op @ Toyota North America Jan 2016 – Jan 2016 | Ann Arbor, MI • Investigated driving patterns of 2.9k real-world vehicles (65k total trips) to produce an official Toyota technical report, which modeled customer driving habits and assisted group’s hybrid platform design and development. • Implemented an informative calculator for plug-in hybrid fuel economy to train team members, establishing group understanding of EPA and CAFE regulations to study plug-in hybrid design and benefits. • Simulated, analyzed, and reported competitor hybrid systems for performance, drivability, and efficiency, guiding development items by expanding collection of benchmark results and automated analysis tools. ### Brake & Active Safety Platform Development Engineering Intern @ Bosch Jan 2015 – Jan 2015 | Plymouth, MI • Designed and assembled touchscreen interface on vehicle CAN bus to refine system control and measurement display, enhancing overall user experience of prototype systems in demonstration vehicles. • Created a new brake pedal kinematic simulation tool to model assembly motion and master cylinder rod deflection, improving group ability to evaluate assembly packaging and hardware durability. • Organized and performed vehicle benchmark test to analyze characteristics of an undocumented competitor brake system, generating template for future benchmarking and data for new system development. ### Systems Validation Engineering Intern @ Valeo Jan 2014 – Jan 2014 | Troy, MI • Assisted wiper system validation lab, ensuring quality in design and production of system programs. • Executed durability, thermal, and load tests that followed official and customer specifications for wiper systems. • Collaborated with engineers and constructed testing plans, structures, and harnesses to meet testing criteria. • Reported systems’ performance data and communicated with engineers and program managers about results. ## Education ### Master's Degree in Electrical Engineering Stanford University Jan 2018 – Jan 2020 ### Bachelor of Science in Engineering (B.S.E.) in Computer Engineering University of Michigan College of Engineering Jan 2014 – Jan 2018 ### Undergraduate Minor in Ross Minor in Business University of Michigan - Stephen M. Ross School of Business Jan 2016 – Jan 2018 ### High School in International Baccalaureate Diploma International Academy East Jan 2010 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/ericya --- Source: https://flows.cv/ericyang1 JSON Resume: https://flows.cv/ericyang1/resume.json Last updated: 2026-03-23