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

United States

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$185,000 – $235,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Machine LearningIndustries

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
What Makes You Stand Out
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

Key technologies and capabilities for this role

Data PipelinesScalable Data ProcessingLiDARCameraIMUData EgressData LifecycleML DatasetsPetabyte Scale DataRobotics Data

Questions & Answers

Common questions about this position

What is the salary range for the Senior Data Engineer role?

The salary range is $185K - $235K.

Is this position remote?

Yes, the position is remote.

What skills are required for this Senior Data Engineer position?

Required skills include 5+ years of professional experience in software or data engineering, strong programming proficiency in Python and SQL, hands-on experience building and maintaining large-scale data processing pipelines using cloud technologies, and proficiency with data warehousing and ETL/ELT concepts.

What is the company culture like at Serve Robotics?

The team is agile, diverse, and driven, with tech industry veterans in software, hardware, and design who solve real-world problems collaboratively and respectfully using robotics, machine learning, and computer vision.

What experience makes a candidate stand out for this role?

Hands-on experience setting up IaC to orchestrate cloud resources and security policies, along with experience with GCP and solid understanding of fully managed services, will make you stand out.

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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