Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple…
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Serve Robotics develops advanced, AI-powered, sidewalk delivery robots that make delivery sustainable and economical
Full company description
Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple U.S. markets.
Come join us, we are hiring!
LinkedIn followers
29,393
People associated on LinkedIn
409
Reported office locations
Los Angeles, CA 90046, US
San Francisco, CA 94122, US
Miami, Florida 33130, US
Dallas, TX 75204, US
Business categories
Information Technology
Robotics
Food Delivery
Logistics
Artificial Intelligence (AI)
Other recorded names
Serve Robotics
Profile identifies a recruitment agency
No
Reported total investment
544,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
51-200 employees
Headquarters
Los Angeles, CA
Organization type
Public Company
Year founded
2021
Serve Robotics has 5 open jobs in Canada as of November 6, 2026. Top locations: Calgary, Vancouver and Toronto.
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
6+ YOECandidates need 6+ years of product management experience shipping software products, experience with operationally complex environments, and strong analytics and API fluency. Practical use of AI-enabled tools and LLMs for data analysis is valued.
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ YOECandidates need a bachelor's degree or equivalent practical experience, 5+ years of professional software engineering including production C++17 work, and embedded Linux experience. They also need concurrency, real-time or safety-related systems experience, and strong communication skills.
C++, Linux, NVIDIA Jetson, Protocol Buffers, FlatBuffers, Cap'n Proto
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
15+ YOE8+ MgmtCandidates need 15+ years in IT infrastructure and operations, including 8+ years in leadership, and experience running complex distributed environments at a high-growth tech company. Deep knowledge of networking, cloud, identity management and enterprise systems is required, plus experience at a public company and strong communication and vendor management skills.
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ YOECandidates need a Master's or PhD in a technical field and at least 5 years of experience training and deploying machine learning models in production. Strong Python skills and hands-on experience training models across multiple GPUs or nodes are required.
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
Candidates need product or engineering experience with data infrastructure in autonomous vehicles, automotive or robotics, plus experience building production ML Ops pipelines. Familiarity with training datasets, model evaluations and active learning is also required.