Cryptopolitan
2025-11-29 15:50:37

Tesla loses employees to a new robotics startup

Tesla has lost at least ten of its long-term, experienced engineers to a new robotics startup called Sunday Robotics. Sunday Robotics recently unveiled its product called Memo, along with a team consisting of engineers who previously worked on various Tesla AI products. Tesla loses employees to a new robotics startup A new robotics startup called Sunday Robotics has hired several important Tesla engineers who worked on the company’s self-driving and robot programs. The company publicly announced its product for the first time on November 19, 2025, and presented a team that consisted of many former Tesla workers. The startup now has at least 10 former Tesla employees, including people who worked on Tesla’s Optimus humanoid robot and Autopilot self-driving system, according to Business Insider . One of the workers, named Perry Jia worked on Tesla’s Autopilot and Optimus programs for almost six years before leaving in the summer to join Sunday. Nadeesha Amarasinghe served as an engineering lead for AI infrastructure at Tesla and helped with both Optimus and Autopilot during his more than seven years at the company. Nishant Desai spent almost five years on Tesla’s machine learning team working on Autopilot and Full Self-Driving before joining Sunday. Jason Peterson, who worked as a talent recruiter for Tesla’s Optimus and robotaxi programs, also moved to the startup. The company now has around 50 people on staff in total. Sunday Robotics was founded in 2024 by Tony Zhao and Cheng Chi. Both graduated from Stanford University with PhDs in computer science and robotics. Zhao previously worked at DeepMind, Tesla, and GoogleX. Zhao was an intern on Tesla’s Autopilot team in 2022, and Chi previously worked as an engineering intern at Apple and as a robotics research intern at the Toyota Research Institute. Sunday Robotics’ different approach Sunday Robotics unveiled its home robot called Memo on November 19. The robot uses a wheeled platform with a body that can move up and down, instead of legs like Tesla’s Optimus. The company says the design makes the robot better at handling objects with its hands. Sunday Robotics reported that it trained its robot on 10 million behavioral episodes collected with a $200 Skill Capture Glove that hundreds of regular people wear to record themselves doing chores in their own homes. Tesla uses VR teleoperation suits where workers wear motion-capture equipment and copy tasks in a lab for its training. The glove method allowed Sunday to collect 10 million episodes of real-world data from messy kitchens, different lighting conditions, and cats jumping on counters, which it claims it did at a much lower cost than Tesla’s lab setup. The company calls these people who wear the gloves “Memory Developers.” The movement of experienced engineers from Tesla to startups like Sunday Robotics is due to the growing competition in the home robotics industry. Sunday Robotics received early backing from Conviction, a venture capital firm focused on foundational AI companies. The startup claims it received private visits from OpenAI, Stripe, Stanford, and Figma. Tesla CEO Elon Musk has said that solving autonomous driving will determine Tesla’s long-term value. He has also emphasized the Optimus humanoid robot project, saying the company wants to eventually ship millions of units that can do tasks from factory work to personal care. However, the loss of key engineers to competitors could affect those plans, along with his almost trillion-dollar pay package, which is mostly tethered to robotics growth. Sharpen your strategy with mentorship + daily ideas - 30 days free access to our trading program

Crypto 뉴스 레터 받기
면책 조항 읽기 : 본 웹 사이트, 하이퍼 링크 사이트, 관련 응용 프로그램, 포럼, 블로그, 소셜 미디어 계정 및 기타 플랫폼 (이하 "사이트")에 제공된 모든 콘텐츠는 제 3 자 출처에서 구입 한 일반적인 정보 용입니다. 우리는 정확성과 업데이트 성을 포함하여 우리의 콘텐츠와 관련하여 어떠한 종류의 보증도하지 않습니다. 우리가 제공하는 컨텐츠의 어떤 부분도 금융 조언, 법률 자문 또는 기타 용도에 대한 귀하의 특정 신뢰를위한 다른 형태의 조언을 구성하지 않습니다. 당사 콘텐츠의 사용 또는 의존은 전적으로 귀하의 책임과 재량에 달려 있습니다. 당신은 그들에게 의존하기 전에 우리 자신의 연구를 수행하고, 검토하고, 분석하고, 검증해야합니다. 거래는 큰 손실로 이어질 수있는 매우 위험한 활동이므로 결정을 내리기 전에 재무 고문에게 문의하십시오. 본 사이트의 어떠한 콘텐츠도 모집 또는 제공을 목적으로하지 않습니다.