Senior Data Infrastructure Engineer

Socket.dev; Santa Clara (CA); On-site; USD 174,720 - 295,680; Full time

Benefits offered by this job

Competitive compensation

Equity

Snacks, lunches and fun activities

Job summary

XPENG is seeking a Data Infrastructure Engineer to design and maintain scalable data lakes and analytics pipelines for autonomous driving data. You will collaborate with ML engineers and the Annotation Team to ensure data quality and enable data-centric AI insights.

Required: BS in Computer Science, 3+ years in data engineering, proficiency in English and Mandarin, and experience with data lakes, data warehouses and ETL/ELT pipelines.

Qualifications

• BS in Computer Science or related field.
• 3+ years of data engineering experience.
• Proficient in English and Mandarin.
• Experience with data lakes, data warehouses, ETL/ELT pipelines.
• Strong communication and problem-solving skills.

Responsibilities

• Identify edge cases in autonomous driving data and build scalable data pipelines.
• Build and maintain data lake and data warehouse infrastructure including ingestion, storage, processing and analytics.
• Manage data quality, schemas, metadata, access controls and system performance for large-scale datasets.
• Collaborate with ML engineers and Annotation Team to apply data-centric AI principles.

Skills

SQL

Python

Data Lakes

Data Warehouses

ETL/ELT

Data Modeling

Schema Design

Data Quality

Workflow Orchestration

English & Mandarin

Education

BS in Computer Science

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.
• Strong communication skills.
• Result-driven & can-do attitude.

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.