# Brandon Goh > Autopilot & Optimus @ Tesla | Waterloo Mechatronics Alum Location: San Francisco Bay Area, United States Profile: https://flows.cv/brandongoh I am a hardworking, determined and a passionate individual who has acquired a variety of skills and knowledge from diverse jobs, projects and design teams which has given me a competitive advantage towards my future endeavours. Experience: 2+ years on Tesla's elite Autopilot and humanoid robotics team, and 1+ year at startups and banks. Languages: Python, Golang, C/C++, JavaScript, TypeScript, ROS, HTML, SQL, MATLAB Frameworks: React, ASP.NET Core, Django, Spring, Cypress, Node.js, CircleCI, Jenkins, Jest Tools & Technologies: Microsoft SQL Server, MySQL, Node.js, Amazon Web Services (AWS), Firebase, Git, Azure Cloud Services, Ubuntu Linux, CARLA Simulator, Rviz, MATLAB Leadership: 5+ years in leading 350+ students and 20+ execs through clubs in tech & entrepreneurship such as DECA, TechUnder20 and WATonomous ## Work Experience ### Senior Autopilot Software Engineer @ Tesla Jan 2026 – Present Optimus & Autopilot ### Autopilot Software Engineer @ Tesla Jan 2024 – Jan 2026 | Palo Alto, California, United States - Led AI visualizations. Built 3D visualization library with navigable temporal scenes, primitives, multi-bot views, and 4D gaussian splats. Thousands of visualizations have been made to date, and is the primary visualization tool for the AI team. - Led QA tooling. Revamped testing workflows with automated video searching, walking metrics, test playlists, and aggregated dashboards - reducing friction for all code deployments. - Solely built full-stack metrics for Optimus Mission Control - data ingestion, deployment tracking, fleet utilization. Core dashboards across navigation, calibration, connectivity, locomotion, and more. Featured in staff meetings and executive reviews. - Designed real-time connectivity dashboards critical to Optimus showcase at the 10/10 Event, used by 50+ engineers during the event. Enabled network debugging and Wi-Fi-to-cell fallback planning for 2,500+ attendees (from network congestions). - Led software tooling for 2025 GFTX Shareholder Event, creating unified live dashboards (health, battery levels, connectivity, ML policy) with streaming security lockdowns. - Engineered geospatial telemetry pipeline with intuitive UI to visualize bot location, pose, and connectivity over time. Reduced multi-bot deadlock interventions by 80%. - Led Optimus data collection mission control and mobile app development, supporting world model development - Solely build data ingestion pipeline for thousands of speech sessions recorded for VLA/VLM model improvement in collaboration with xAI's Grok team. - Created org-wide alerts channel for bot incidents, interventions, and service outages - enabling rapid triage at scale. - Led Optimus intervention queue project analogous to Robotaxi interventions, with scale for thousands of bots. - Created hand tactile sensor visualizer for robot hands and data collection. - Built CI robot interface - enabling viewing health issues, send commands, and automate setup for automated testing. ### Autopilot Software Intern @ Tesla Jan 2023 – Jan 2023 • Visualized robot data such as quaternion, position, joints, and enhanced end-to-end manipulation efforts as seen in the Optimus Investor Day video. One of the key features I made allows ML researchers and engineers to compare and visualize various signals in vector space and perform centralized comparisons. • Accelerated training AI from human demonstration, built tools for saving and loading user-based debugging templates, and facilitated real-time code execution for data logging and command dispatch. • Implemented features for visualizing robot projections on live camera feeds (as seen in AI Day), monitoring health signals, and providing alerts related to the Electrical Control Unit (ECU). • I took ownership of a testing workflow tool that streamlined test creation and execution. Also, I contributed to rendering objects in vector space, displaying running tasks and services on the ECU, and providing logs in an effective way to the user. • Worked on tooling to test, train, and analyze foundational models for both autonomous driving and humanoid robots. The enhanced features include in depth infra debugging logs and automating calculations of daily key metrics that are presented to executives for high-level engineering decisions. • Worked on robot joint calibration, signal recording features, enabling the application to send multiple commands to robots simultaneously, fetched Controller Area Network (CAN) signals, and displayed user-facing alerts based on signal values and calculations. • Design and implement large-scale data processing pipelines that handle a diverse set of Autopilot related data such as images, sensor inputs, and human labels. • Design and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our model training. • Work closely with frontend engineers to seamlessly integrate with backend systems • Work closely with AI researchers to support evolving research projects and implement new production features ### Software Engineering Intern (Mobile Robotics) @ Tesla Jan 2022 – Jan 2022 • Designed and developed a scalable crane driver using Golang that enabled seamless communication with hundreds of Giga Berlin cranes to perform continuous pick-and-place operations and read status updates for enhanced efficiency and productivity • Developed full-stack functionality using React to control cranes based on type, predetermined locations, and custom user input mapped to a relational database of valid inputs for Automated Storage and Retrieval Systems • Optimized the robot fleet manager’s track creator to reduce load times and increase response time by 25x using React • Designed and built custom fleet manager functionality to upload and unload custom payloads based on selected waypoints and dynamic UI visualization of payload contours with scale for 100+ Autonomous Guided Vehicles (AGVs) in Giga Shanghai • Created a server to simulate handshakes for hundreds of HMIs, cranes and automated factory equipment using Python ### Intercollegiate Poker Player @ Intercollegiate Poker Association Jan 2021 – Jan 2022 • Placed 3rd at the international level against colleges such as Vanderbilt, UPenn, Tufts, UCSD and Edinburgh. ### Software Engineering Intern (Mobile Robotics) @ Tesla Jan 2021 – Jan 2021 | Palo Alto, California, United States • Solo constructed a scalable robot API and client to send and receive commands with scale for 100+ Autonomous Guided Vehicles (AGVs) using Golang • Integrated full AGV software simulation with continuous updates on AGV routes and spline calculations using React • Worked with a cross-functional team of EE, MechE, SWE, and FW engineers to create the initial data model, fleet manager simulation, and gRPC server for Tesla's general-purpose bipedal robot (Tesla Bot) ### RADAR Team Lead @ WATonomous Jan 2020 – Jan 2021 • Implemented a multi-object tracker using a point-target model to identify and classify readings using MATLAB, Python, C++, ROS and Ubuntu which helps validate classifications from other sensors in the data fusion process • Determined the best azimuth angle of 83 degrees and RCS threshold of -12 through 10 multi-radar filtering experiments which increased point density and accuracy by 34% for the RADAR sensors • Managing the RADAR team along with 1 co-op student to ensure efficient and cohesive work using JIRA ### RADAR Driver Developer @ WATonomous Jan 2020 – Jan 2020 • Determined best and most viable methods to implement a multi-object tracker for the SAE Year 4 AutoDrive Challenge • Analyzed different object tracking algorithms using MATLAB • Building a custom driver for the provided radar in order to extract key metrics using C++ and python • Handle multiple radar connections and visualize the data through a point cloud • Using ROS in order to communicate with the rest of the car (embedded systems and radar hardware) • Self-learning and testing OSM and HERE HD Maps using JOSM and data points from the perception team • Restructuring trajectory algorithms to produce lanelets and boundaries for the path planning team using Python ### Test Automation Engineering Intern @ Prodigy Education Jan 2021 – Jan 2021 • Pioneered the automation of game testing using JavaScript, Cypress, and CircleCI to create a test suite with 90% coverage of first-time user experience including authentication and game functionalities • Implemented 5 dispatch event signals based on user interactions to create data-driven player engagement metrics for business revenue/retention models using JavaScript • Evaluated core battle mechanics and numerical computations through 15+ unit tests using Jest to ensure dynamic gameplay • Worked collaboratively within scrum team in agile sprint planning, estimation, and review processes ### Director of Technology @ UW VR Jan 2020 – Jan 2021 • Facilitated and led Spark AR workshop to teach members how to program and create animated Instagram filters • Refactored UW Virtual Reality Club website using JavaScript, HTML and CSS ### Software Developer @ RBC Jan 2020 – Jan 2020 | Toronto, Ontario, Canada • Automated and refactored export functionality for an internal wealth management app used by 5300+ employees to generate financial reports using ASP.NET Razor, JavaScript, HTML, Jenkins and SQL • Migrated 3 applications to Azure Cloud using C# and .NET Framework to update infrastructure for scalability • Designed and integrated 9 tables using SPiCA Microsoft SQL Server Database to aid financial analyses • Connected data between 2 applications by using Apigee PingFederate API and Oauth 2.0 which increased loading speeds by 20% ### Firmware Developer @ Midnight Sun Solar Car Team Jan 2019 – Jan 2020 | University of Waterloo • Programmed a solar-powered electric car to compete in the American Solar Challenge and World Solar Challenge by demonstrating the potential of renewable energy for a more sustainable future • Learned and tested integration with embedded and event-driven systems in order to write C - based firmware • Experienced using C, microcontrollers, LEDs, Vagrant, and organizational tools such as JIRA and Confluence ### Innovation Developer @ RBC Jan 2019 – Jan 2019 | Toronto, Canada Area • Refactored an internal talent management application used by 3000+ employees to connect co-op students and their managers through tasks, deadlines and messages using Angular, Spring, TypeScript, HTML and CSS • Optimized and automated the data transfer process between 2 applications through RESTful APIs and implemented caching to reduce load times by 25% ### Host & Pantry @ Swiss Chalet Fine Foods Jan 2017 – Jan 2019 | Oakville, ON, Canada - Exemplified collaborative, leadership and teamwork skills when communicating with servers, staff and customers - Delegated tasks to other hosts during busy hours - Worked host, pantry and pick-up orders ### TU20 Chapter President @ Silicon Halton Jan 2018 – Jan 2019 - Founded the TU20 Chapter at Iroquois Ridge, hosting weekly meetings discussing technology, business, and entrepreneurship. Improved attendance ratings steadily throughout the year and brought in two guest speakers for the club. Hosted interviews and carefully selected executives for the future generations of the club - Organized the 2018 TU20 Cup by contacting suppliers for food and t-shirts. This event achieved the highest attendance rate in the history of the TU20 Cup, with 30 teams in attendance ### DECA Chapter Executive @ DECA Ontario Jan 2017 – Jan 2019 | Ontario, Canada Prepared roughly 40 students for the DECA business competition for the regional, provincial and international level by teaching them marketing concepts, business knowledge, case study formats all through my own lessons. I also organized a curriculum, multiple interactive activities and ensured the students are successful in their exam and case study to progress to the next level. ### President - Iroquois Ridge High School Chapter @ HOSA Canada Jan 2016 – Jan 2019 Managed the executive team and organized roughly 80+ IRHS students that were able to compete at the Spring Leadership Conference in Toronto. ### Executive Trainer - Iroquois Ridge High School Chapter @ HOSA Canada Jan 2016 – Jan 2017 Prepare roughly 60 students for the HOSA health science competition by teaching them health concepts, medical science knowledge and case study/test formats all through my own lessons. ## Education ### Bachelor of Applied Science - BASc in Mechatronics, Robotics, and Automation Engineering University of Waterloo ### Iroquois Ridge High School ## Contact & Social - LinkedIn: https://linkedin.com/in/brandon-goh - Portfolio: https://brandon-goh.github.io/website/ --- Source: https://flows.cv/brandongoh JSON Resume: https://flows.cv/brandongoh/resume.json Last updated: 2026-03-31