[Remote] Senior Data Engineer, ML Infrastructure at Serve Robotics

United States

Serve Robotics Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 5+ years of professional experience in software or data engineering
  • Strong programming proficiency in Python, SQL
  • Hands-on experience building and maintaining large-scale data processing pipelines using cloud technologies
  • Proficiency with data warehousing and ETL/ELT concepts
  • Solid understanding of system design, along with data privacy and security best practices
  • Hands on experience setting up IaC to orchestrate cloud resources and security policies
  • Experience with GCP and solid understanding of fully managed cloud infrastructure
  • Familiarity with robotics data such as lidar, multi-modal camera, mapping, etc
  • Experience working in a fast paced startup environment
  • Experience building and optimizing terabyte scale data pipelines

Responsibilities

  • Architect and implement robust, scalable data pipelines to process, synchronize, and package robotics data (e.g., LiDAR, camera, IMU, proprietary maps) for third-party consumption
  • Build a data processing and egress platform, ensuring the timely and accurate delivery of datasets according to strict partner SLAs
  • Create data lifecycle policies to control cloud data costs
  • Build and maintain a universal data catalogue of all raw robot data
  • Create cost monitoring, attribution and alerting systems
  • Build data discoverability platform features, use ml models to generate new attributes and maintain efficient, highly scalable search indexes
  • Setup data access audit trails and strong security controls managed through IaC
  • Create lineage maps and expose data traceability capabilities to internal consumers

Skills

Serve Robotics

Autonomous delivery robots for food and retail

About Serve Robotics

Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.

Redwood City, CaliforniaHeadquarters
2021Year Founded
$51.6MTotal Funding
POST_IPO_EQUITYCompany Stage
Food & Agriculture, Robotics & Automation, Consumer GoodsIndustries
51-200Employees

Risks

Rapid expansion may strain resources and operational capabilities.
Integration of Vebu could divert focus from core delivery services.
Over-reliance on partners like Uber and Nvidia poses potential risks.

Differentiation

Serve Robotics uses zero-emissions rovers for eco-friendly food delivery.
The company offers delivery-as-a-service with a subscription-based revenue model.
Serve Robotics integrates Vebu's Autocado for expanded automation solutions.

Upsides

Recent $80M funding supports expansion to 2,000 robots by end of 2025.
Acquisition of Vebu enhances automation offerings beyond delivery services.
Appointment of Anthony Armenta boosts AI and software capabilities.

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