Senior Data Infrastructure Engineer

Xpeng Inc.; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Benefits offered by this job

Competitive compensation package

Snacks, lunches and fun activities

Job summary

XPENG is seeking a Data Infrastructure Engineer to analyze large autonomous driving datasets, identify edge cases impacting safety and comfort, and resolve them with in-house tools. You will collaborate with ML Engineers and the Annotation Team to apply data-centric AI principles.

Responsibilities include building scalable data lake/warehouse infrastructure, managing data quality, schemas, metadata, access controls, and performance. Proficiency in SQL, Python, and cloud storage is expected.

Qualifications

• BS in Computer Science or related field.
• 3+ years industrial experience.
• Fluent in English and Mandarin.
• Experience with data lakes, data warehouses and ETL/ELT pipelines.
• Familiar with data modeling and schema design.
• Knowledge of workflow orchestration and data quality management.

Responsibilities

• Identify edge cases in autonomous driving functionality by analyzing large field datasets.
• Resolve edge cases using in-house tools and collaborate with ML Engineers and Annotation Team.
• Monitor efficiency metrics and root causes to improve the edge-case resolution process.
• Build and maintain scalable data lake and data warehouse infrastructure for ingestion, storage, processing and analytics.

Skills

English & Mandarin

Python

SQL

Data Lakes

Data Warehouses

ETL/ELT

Data Modeling

Workflow Orchestration

Education

BS in Computer Science

Tools

Python

SQL

ETL Tools

Cloud Storage

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

We are looking for a Data Infrastructure Engineer with engineering background and development skills. As a Data Infrastructure Engineer, your role is to identify corner cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field; resolve corner cases with creative methods by leveraging in-house toolchains and work closely with Machine Learning Engineers and Annotation Team to apply principals of data-centric AI to resolve real-world problems.

Responsibilities

Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field.

Resolve edge cases with creative methods by leveraging in-house toolchains and working closely with Machine Learning Engineers & Annotation Team.

Monitor key efficiency metrics in edge case resolving process, analyze root causes of changes and provide constructive ways to improve the process

Build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines.

Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable and efficient use of large-scale autonomous driving data.

Requirements

BS in Computer Science, or related fields (or relevant experience).

3 + years industrial experience in the related field.

Proficient in both written and spoken English and Mandarin.

Passionate about autonomous driving technology.

Familiar with SQL and some prior experience with Python.

Experience with data lakes, data warehouses, ETL/ELT pipelines, distributed data processing, or cloud-based storage systems.

Familiarity with data modeling, schema design, data quality management, and workflow orchestration.

What do we provide

A fun, supportive and engaging environment.

Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.

Opportunity to work on cutting edge technologies with the top talent in the field.

Competitive compensation package.

Snacks, lunches and fun activities.

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.