Deng Simiao Posted from the Co-Driving Temple
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Tesla AI Day, Musk made a brilliant debut with his favorite 23-bit . Among the team composition of
, it is common for those who graduated from Carnegie Mellon University and Stanford University . There are many people who have worked in Apple , Google , and AMD for several years.
It is worth mentioning that there are 2 women who are highly valued by Musk. They have all worked at Tesla for several years and have had unusual and impressive experiences.
Family faces include Milan Kovac, Ashok Elliswamy, Ganesh Venkataramanan, and they all appeared on Tesla AI Day last year.
Want to know who are famous people around Boss Ma? What is the origin of the Tesla team?
article will show you all.
humanoid robot team
Tesla Optimus Prime robot team, a total of 4 people appeared:
△ In the middle is Lizzie Miskovetz, on the right is Milan Kovac
, Liz Miskovetz (Lizzie Miskovetz) , serving as Tesla's director mechanical design engineer .
Previously, he has worked at Tesla, including low-voltage wiring harness and vehicle integration senior mechanical design engineer.
In 2014, she graduated from the Colorado Mining Institute of Mining in the United States and came to Tesla as soon as she graduated. She has never changed any other jobs here.
From the end of high school to college, she made various attempts.
For example, go to bicycle shop (Pegasus Bicycle Works) to work as a repairman and salesperson.
also went to , a private school in , , , and summer camp , , and , , and worked as part-time teachers, teaching children to program robots using NXT-G language developed by LEGO.
not only that, but at the invitation of Eugene Mizusawa, Ph.D., inorganic chemistry, from UCLA, she went to junior and senior high school to teach girls to inspire their interest in robots.
once had a brief internship with two companies, one is (URS) , an engineering design and construction company in San Francisco, California, and the other is the aerospace company (Ball Aerospace) , which was manufactured by NASA's first spacecraft in the United States.
has been in 7 years and 10 months since joining Tesla in January 2015.
, , Milan Kovac (Milan Kovac) , serving as the main person in charge of Tesla's Autopilot software engineering.
Last year, Tesla AI Day, he appeared in front of everyone as a member of Tesla's Autopilot team, explaining to everyone how to migrate neural network to cars.
This time he will introduce to you how to use the same process as Autopilot to collect data and train the neural network of Optimus Prime robot .
Previously spent in 4 different companies, but not for long.
used to work as a software engineer and project leader at Softkinetic, a distance image sensor technology company that was acquired by Sony in 2015.
later stayed at Sony for 2 years and worked as a software engineer. During this period, he was responsible for the development of C/C++/Python application, integrated 3D image sensors for gesture-controlled smart lights, and developed a real-time analysis system for shopper behavior.
served as the chief engineer of embedded systems in (SKULLY) , a smart wearable device company in , the San Francisco Bay Area, and once made a smart HUD motorcycle helmet with a monitor, a wide-angle rear camera, and can also connect to mobile phone Bluetooth.
Currently, he has worked at Tesla for 6 years and 7 months.
, Eric Huang, working as a robot control engineer.
Tesla was his first official job. Before that, he graduated from Georgia Institute of Technology computer science major, and later obtained a doctorate in robotics from Georgia Institute of Technology and Carnegie Mellon University .
His doctoral thesis is about robot manipulation.
During his PhD at Carnegie Mellon University, Eric Huang joined the famous robot operation laboratory (Manipulation Lab) , and studied under Professor Matthew T. Mason, who once wrote the book "Principles of Mechanics in Robot Operation".
Eric Huang has participated in the DARPA Robot Challenge and the Amazon Robot Crawling Challenge. He also had a brief internship at Musk's SpaceX company , and was responsible for computer vision related work.
As of now, I have been in Tesla for more than a year.
, Malcolm Burgess (Malcolm Burgess) , serving as Tesla's vehicle dynamics and conceptual structure manager.
At this meeting, he introduced the structural basis of robots in detail.
He graduated from the University of Bradford, UK in 1982 with a major in mechanical engineering. So far, I have worked at Tesla for 2 for 10 months .
Tesla Autopilot team
Tesla Autopilot team has 4 debuted:
, Ashok Eluswamy (Ashok Eluswamy) , serving as the head of Tesla Autopilot software.
He and Milan Kovac, mentioned above, led the Autopilot team together. They both attended Tesla AI Day last year.
Ashok's team currently leads at Tesla is mainly responsible for the following work:
- creates large-scale automatic ground reality pipelines, using a large amount of diversified and high-quality data to train neural networks;
- uses the best machine learning and engineering models to accurately and detailed geometric and semantic understanding of the world;
- builds a robust, causal and predictable model for other behavioral subjects in geometric and semantic state spaces.
- uses the most advanced AI technology for decision-making, planning and control, including the use of high-dimensional search, trajectory optimization, reinforcement learning, model prediction control and other methods.
△The one on the left of Musk is Ashok
Ahok graduated from the Jindi Institute of Engineering, Electronics and Communications in Chennai, India. The college was founded in 1794. It is the oldest technical institution in Asia and the oldest technical institution established outside Europe.
He graduated with a master's degree from Carnegie Mellon University in 2013 and majored in developing robot system in , and studied computer vision, motion planning, reinforcement learning and other related content.
Previously, he worked for (WABCO, WABCO) , an American automotive control system company, and worked as a software engineer.
also interns at Volkswagen Electronic Research Laboratory . During the internship, the perception system based on the camera is used to identify and record various road marks on the vehicle's travelable road surface, thereby accurately positioning the car. This project is related to Volkswagen's autonomous driving research and development.
As of now, he has worked at Tesla for 8 years and 10 months.
, Phil Duan, serves as the engineering manager of Tesla Autopilot.
At the meeting, he explained to everyone the neural network model that Tesla applied to autonomous vehicles - Occupancy Networks.
Currently, his job responsibilities are as follows:
- automatically marks Tesla's autonomous driving dataset;
- uses the dataset to train deep neural networks;
- integrates the model with the rest of the Autopilot software stack to support different autonomous driving functions and functions that play a key role in safety.
Backwards, he worked as an information technology support engineer at NASA Langley Research Center , a technical employee at Trimble Navigation Company, and a senior GNSS software engineer at Samsung Electronics .
He graduated from Wuhan University of Technology Optoelectronic Information Science and Engineering, graduated from Ohio University in the United States by master's and doctoral degree, and won the 2019 William E. Jackson Award.
The award was established mainly in memory of William E. Jackson , a pioneer in the development and implementation of air traffic control system in the United States and a passionate supporter of student engineers.
As of now, he has worked at Tesla for 5 years and 6 months.
, Kate Parker (Kate Park), serving as Tesla's chief product manager.
She is the first product manager of of Tesla's Autopilot computer vision team, , responsible for training and deployment of all neural networks on Tesla's more than 2 million cars.
At the same time, she is also responsible for designing and leading the evaluation and deployment of machine learning platform, artificial intelligence tools, data sources, neural networks, etc.
She holds two U.S. patents together with Musk and former Tesla AI director Andrej Karpathy.
Before Tesla, she had a brief internship at Uber, responsible for software engineering related work; she also had an internship at Google, working as a product manager.
In 2018, after three months of internship with the Tesla computer vision team, she became a formal employee and has been working for Tesla for 4 years and 3 months.
On the road to studying, she graduated from Stanford University’s computer science major in the United States and has won the Stanford University F.E. Terman Award. This award is only awarded to the top 5% of the , which are undergraduate and advanced engineering majors at Stanford University.
She also wrote a travel memoir, which has been published so far.
, John Emmons (John Emmons) , serves as a senior engineering manager in the computer vision team at Tesla Autopilot.
The team is composed of a number of software engineers and deep learning experts who are responsible for developing neural networks that are used for object detection, kinematics prediction, lane geometry prediction, general depth prediction, traffic control, etc.
They train, quantify and deploy neural networks to improve inference delays through architectural searches, automatic marking of fleet data, etc.
He graduated from from Washington University in St. Louis, and graduated from computer science at computer science at Stanford University in 2018.
As of now, he has worked at Tesla for 4 years and 2 months.
Dojo Supercomputing Team
Tesla Dojo Supercomputing Team has 2 debuted:
, Ganesh Venkataramanan (Ganesh Venkataramanan) , Dojo Project Leader.
Last year he also participated in Tesla AI Day. He is currently mainly responsible for the hardware part of the Tesla Autopilot team, and has been working here for 6 years and 8 months.
Before coming to Tesla, he worked for AMD for 14 years, serving as senior director of design engineering, and led a team of more than 200 engineers to design CPU.
has studied at University of Mumbai, India, and Indian Institute of Technology Delhi Branch.
, Bill Chang, serves as Dojo's chief system engineer , responsible for the system architecture and design of AI training systems.
He had a rich previous work experience. In 1999, he joined IBM as product engineer . He worked at IBM for 15 years. Before leaving, his position was senior technical manager .
After leaving IBM, he joined Apple and served as a senior engineering project manager, mainly responsible for managing SoC chip architecture planning and definition.
After staying in Apple for more than 5 years, he chose to switch to Tesla.In terms of his undergraduate studies, he graduated from the University of Maryland, Parker, USA.
is OK, the above is a small part of the Tesla team.
Through their resume and background, I believe you can also see the intention of Tesla to hold AI Day.
As Musk said, he hopes that Tesla is a unique company, where engineers have a stage to play, and they can use technology to make the world a better place .
AI Day happens to be a window where engineers can communicate technology and transfer knowledge to their heart's content.
also fulfilled Boss Ma’s wish - recruit talents.
