echoloc

Serve Robotics Tech Stack

AI-powered sidewalk delivery robots for last-mile logistics

Technology, Information and Internet Los Angeles, CA 51–200 employees Founded 2021 Public Company

Serve Robotics operates autonomous delivery robots deployed across major U.S. markets under multi-year contracts, including a 2,000-unit agreement with Uber Eats. The tech stack reveals a hardware-centric ML engineering org: NVIDIA Jetson + PyTorch + TensorRT for on-device inference, C++ for embedded systems, and cloud infrastructure (AWS, GCP, Kubernetes) for fleet orchestration and a petabyte-scale data platform. Hiring is operations-heavy (25 ops roles) with accelerating velocity—a signal the company is transitioning from pilot-phase robotics to scaled commercial deployment, where reliability and operational overhead dominate the roadmap.

Tech Stack 81 technologies

Core StackSolidWorks PyTorch C++ NetSuite Jira React TypeScript TensorFlow Python Elixir AWS Docker Kubernetes Terraform CloudFormation Vue Onshape NVIDIA Jetson ONNX TensorRT CUDA NVIDIA Nsight C++17 RTOS UART I2C FloQast Erlang GCP Bash+51 more

What Serve Robotics Is Building

Challenges

  • Maintaining robot reliability
  • Minimizing service interruptions
  • Protecting valuable equipment
  • Scaling robotic deliveries
  • Manual operational overhead
  • Ensuring timely response
  • Scaling robot fleet
  • Manual process inefficiencies
  • Equipment protection
  • Reducing service disruptions

Active Projects

  • Commercial deliveries with autonomous sidewalk robots
  • Reliability operations function foundation
  • Operational process development for last mile delivery
  • Runbook development
  • Proactive monitoring improvement
  • Automation script enhancement
  • Endpoint security and compliance
  • Novel test methodologies for an autonomous sidewalk robot
  • Autonomous last-mile delivery robot
  • Petabyte-scale data and ml platform

Hiring Activity

Accelerating60 roles · 45 in 30d

Department

Ops
25
Engineering
17
Operations
5
Legal
3
Security
3
Data
2
Product
2
Sales
2

Seniority

Mid
21
Senior
17
Junior
12
Manager
6
Lead
3
Director
1
Staff
1
VP
1
Company intelligence

Find more companies like Serve Robotics by tech stack, pain points and active projects

Get started free

About Serve Robotics

Serve Robotics designs and deploys autonomous sidewalk delivery robots for commercial logistics. Spun off from Uber in 2021, the company has completed tens of thousands of deliveries and operates multi-year contracts with enterprise logistics partners. The product is a low-emissions alternative to traditional last-mile delivery, with scalable deployment infrastructure across multiple U.S. markets. The business is operations-driven: active projects span fleet reliability, operational runbooks, endpoint security, and test methodologies for autonomous systems. The hiring mix (51–200 employees, accelerating recruitment across ops, engineering, and data) reflects the shift from prototype validation toward field-scale operations.

HeadquartersLos Angeles, CA
Company Size51–200 employees
Founded2021
Hiring MarketsCanada, Malaysia, United States, Sweden

Frequently Asked Questions

What tech stack does Serve Robotics use?

NVIDIA Jetson, PyTorch, and TensorRT for on-device AI; C++ for embedded systems; AWS and GCP for cloud infrastructure; Kubernetes and Docker for fleet orchestration; React and TypeScript for internal tools.

Where does Serve Robotics operate?

Headquarters in Los Angeles, CA. Commercial deployments across multiple U.S. markets under contract with Uber Eats and other enterprise partners. Recruiting in the United States, Canada, Malaysia, and Sweden.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

How this profile is built

Serve Robotics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.