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Senior Staff AI Data Infrastructure/Pipeline Engineer

XPENG · Santa Clara, CA

AI Infrastructure Team SV Office Posted Apr 29, 2026

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.

As a core member of our AI Infrastructure team, you will be responsible for building the end-to-end data pipeline for autonomous driving, covering the entire chain from onboard data upload → cloud-based preprocessing → dataset production → model training / simulation input. In autonomous driving systems, the stability and efficiency of the pipeline directly determine the speed of algorithm iteration. We look forward to building a reliable, observable, and cost-effective data pipeline that supports the daily flow of petabyte-scale sensor data.

Key Responsibilities

Responsible for the design and construction of core data closed loop pipelines. Develop toolchains for data cleaning, annotation quality inspection, and data mining to support the algorithm team in quickly locating model error cases and driving iterative model optimization.
Data Support for Production and R&D Processes. This includes log event tracking, connected vehicle data, internal and external data collection, data synchronization, data cleaning and standardization, data modeling, offline and real-time data processing, data as a service, and data visualization. Support business operations such as autonomous driving, smart cockpits, overseas data collection, and robotics data collection.
Responsible for optimizing the performance of the entire data pipeline (collection, cleaning, conversion). Solve bottlenecks in large-scale data transmission, memory management, I/O, etc., and build a distributed data processing system with high throughput and low latency.
Responsible for building a data management platform covering the entire process from data collection to data lake ingestion to model training. Implement capabilities for data version control, data lineage tracing, metadata management, and fast data retrieval to support unified data access and collaboration across multiple teams.
Collaborate with the large model team and other technical teams to deeply understand business requirements, respond quickly, and ensure successful implementation.

Basic Qualifications

Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
5-8+ years of experience in large-scale data processing or data platform development.
Proficiency in at least one programming language among Python / Go / Java. Solid software engineering foundation, good coding standards, and a strong sense of code quality.
Hands-on project experience in at least two of the following areas:
- Design and development of large-scale data pipelines / ETL systems, with end-to-end experience in data cleaning, transformation, and loading.
- Production-level experience with distributed message queues (Kafka / Pulsar / RabbitMQ), familiar with stream processing paradigms.
- Experience with distributed data lake systems (e.g., Apache Iceberg), familiar with Iceberg's table format, partition evolution, snapshot isolation, etc., with practical performance tuning and deployment experience.
- Experience with columnar storage formats (e.g., Lance) and related query engines, with practical application in large model training.
Hands-on experience using and optimizing relational databases (MySQL / PostgreSQL) and NoSQL databases (Redis / MongoDB). Understand metadata management and caching strategies.
Experience in performance optimization and troubleshooting for large-scale distributed systems, able to quickly locate and resolve complex performance bottlenecks. Experience with Kubernetes / Docker containerization deployment.
Strong cross-team communication and collaboration skills, high sense of responsibility, and proactive problem-solving attitude.

Preferred Qualifications

Familiarity with closed-loop data in the embodied AI industry will be a huge plus.
Some understanding of the autonomous driving industry, awareness of data closed loop and data flywheel concepts, and enthusiasm for this field.
Experience with AI infrastructure or model training workflows (e.g., data loading, feature engineering, data preparation for model evaluation).
Familiarity with data lake / data warehouse systems, with practical experience implementing data version control and data lineage tracing.
Open-source contributions on GitHub or a technical blog, with continuous attention to the latest technological trends in big data / AI infrastructure.

What do we provide:

A fun, supportive and engaging environment.
Infrastructures and computational resources to support your work.
Opportunity to work on cutting edge technologies with the top talents in the field.
Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
Competitive compensation package.
Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $203,450-$344,300, 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.

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Senior Staff AI Data Infrastructure Engineer

XPENG · Santa Clara, CA

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AI Infrastructure Team SV Office Posted Apr 29, 2026

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.

As a core member of our AI Infrastructure team, you will work at the intersection of Autonomous Driving and Foundation Models. We don't just process EB-scale perception data from tens of thousands of production vehicles; we are building the high-performance Data Engine that powers our next-generation AI. Your work will directly determine how our self-driving systems "learn" from massive datasets and define the cognitive ceiling of multi-modal models in the physical world.

Key Responsibilities

Scalable Data Pipelines: Architect and build scalable, end-to-end pipelines to automate the ingestion, cleaning, and processing of PB-scale raw data for both production autonomy and multi-modal LLMs.
Modern Lakehouse Architecture: Evolve our data storage solutions based on Apache Iceberg and Lance to implement efficient semantic indexing, metadata management, and data versioning.
Training Throughput Optimization: Deeply optimize data loading and pre-fetching strategies to ensure maximum throughput for large-scale training on 10,000+ GPU clusters.
Infrastructure Evolution: Support the seamless transition of foundation model data into actionable training sets, bridging the gap between raw vehicle logs and model-ready tokens.

Basic Qualifications

Engineering Excellence: BS/MS/PhD in Computer Science or a related field, with a proven track record of building large-scale distributed systems.
Work Experience: 5-8 + years of industry experience.
Programming Mastery: Proficient in Python, C++, or Java, with a deep understanding of high-performance concurrent programming and systems design.
Distributed Frameworks: Hands-on experience with at least one distributed processing framework, such as Ray and Spark.
Lakehouse Expertise: Familiarity with Data Lakehouse concepts and practical experience with technologies like Iceberg and Lance.

Preferred Qualifications

Experience building data warehouses for Trillion-token datasets or PB-scale multi-modal data.
Deep understanding of data access patterns in deep learning frameworks like PyTorch, DeepSpeed, or Megatron.
Practical experience with Vector Databases, automated labeling toolchains, or data-centric AI workflows.
Knowledge of storage formats optimized for AI (e.g., Parquet, Lance) and high-performance file systems.

What do we provide:

A fun, supportive and engaging environment.
Infrastructures and computational resources to support your work.
Opportunity to work on cutting edge technologies with the top talents in the field.
Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
Competitive compensation package.
Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $203,450-$344,300, 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.

Ready to apply?

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XPENG

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Senior Staff Research Engineer – Reinforcement Learning for AI Agents

XPENG · Santa Clara, CA

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AI Infrastructure Team SV Office Posted Apr 14, 2026

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 exceptional Research Engineers / Scientists to design learning systems that allow agents to plan over long horizons, learn effective strategies, and improve through experience.

This role sits at the intersection of reinforcement learning, large language models, and real-world autonomous systems. Autonomous systems must operate reliably in complex, dynamic environments. We believe the next generation of autonomy will involve learning agents that continuously improve through interaction, feedback, and large-scale data. You will help build the learning systems that power these agents.

Key Responsibilities:

Reinforcement learning methods for LLM-driven agents and decision systems.
Policy optimization for long-horizon reasoning and planning.
Learning from human or AI feedback (RLHF / RLAIF).
Agent training pipelines built on top of our agent infrastructure platform.
Evaluation and benchmarking systems for agent capabilities.
Learning loops that integrate real-world and simulation data.
Contribute to AI systems that continuously improve after deployment.

Basic Qualifications

MS or PhD in Computer Science, AI, Machine Learning, Robotics, or a related field.
Strong background in reinforcement learning or machine learning.
Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.
Strong programming skills in Python with PyTorch or JAX.
Experience building ML training systems or infrastructure.

Preferred Qualifications

Experience with RLHF or preference learning.
Experience with LLM agents or tool-using AI systems.
Multi-agent systems or long-horizon planning.
Simulation environments for RL.
Publications in NeurIPS, ICML, ICLR, ACL, or related venues.

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 $244,140 - $413,160, 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.

Ready to apply?

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XPENG

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Staff Software Engineer

XPENG · Santa Clara, CA

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AI Infrastructure Team SV Office Posted Apr 14, 2026

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.

As a software engineer, you will be part of a team working towards XPENG's autonomous vehicle vision.

Job Responsibilities:

Design and implement modules within the autonomous software stack, especially AI 2.0 data close loop software
Analyze system CPU and memory performance and propose/implement optimization
Debug performance bottlenecks
Provide software design and architecture guidance to other teams within the company

Minimum Skill Requirements:

BS/MS Degree in Computer Science, Computer Engineering, related technical discipline, or equivalent experience
5+ years of Software Development experience
Excellent C++/C programming skills
Excellent understanding of multi-threading and concurrency fundamentals
Experience with RTOS
Proficient at CPU or memory profiling tools.
Excellent debugging skills (Coredump , live debug)
Master of software debugging tools: software debuggers, analyzers, trace loggers
Proficiency with Git, Python and Shell

Preferred Skill Requirements:

Experience with Linux Kernel
Experience with Nvidia Orin platforms
Experience with TCP/IP , UDP and networking protocols.
Experience with DDS
Experience in Automotive industry
Familiarity with Communications protocols (CAN, MQTT, etc.)

What do we provide:

A fun, supportive and engaging environment
Opportunities to pursue and work on cutting edge technologies
Competitive salary
Snacks, lunches and fun activities

The base salary range for this full-time position is $179,400-$303,600, 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.

Ready to apply?

Apply to XPENG

XPENG

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Senior AI Data Infrastructure Engineer

XPENG · Santa Clara, CA

Apply now

AI Infrastructure Team SV Office Posted Apr 14, 2026

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.

As a core member of our AI Infrastructure team, you will work at the intersection of Autonomous Driving and Foundation Models. We don't just process EB-scale perception data from tens of thousands of production vehicles; we are building the high-performance Data Engine that powers our next-generation AI. Your work will directly determine how our self-driving systems "learn" from massive datasets and define the cognitive ceiling of multi-modal models in the physical world.

Key Responsibilities

Scalable Data Pipelines: Architect and build scalable, end-to-end pipelines to automate the ingestion, cleaning, and processing of PB-scale raw data for both production autonomy and multi-modal LLMs.
Modern Lakehouse Architecture: Evolve our data storage solutions based on Apache Iceberg and Lance to implement efficient semantic indexing, metadata management, and data versioning.
Training Throughput Optimization: Deeply optimize data loading and pre-fetching strategies to ensure maximum throughput for large-scale training on 10,000+ GPU clusters.
Infrastructure Evolution: Support the seamless transition of foundation model data into actionable training sets, bridging the gap between raw vehicle logs and model-ready tokens.

Basic Qualifications

Engineering Excellence: BS/MS/PhD in Computer Science or a related field, with a proven track record of building large-scale distributed systems.
Work Experience: 3-5 years of industry experience.
Programming Mastery: Proficient in Python, C++, or Java, with a deep understanding of high-performance concurrent programming and systems design.
Distributed Frameworks: Hands-on experience with at least one distributed processing framework, such as Ray and Spark.
Lakehouse Expertise: Familiarity with Data Lakehouse concepts and practical experience with technologies like Iceberg and Lance.

Preferred Qualifications

Experience building data warehouses for Trillion-token datasets or PB-scale multi-modal data.
Deep understanding of data access patterns in deep learning frameworks like PyTorch, DeepSpeed, or Megatron.
Practical experience with Vector Databases, automated labeling toolchains, or data-centric AI workflows.
Knowledge of storage formats optimized for AI (e.g., Parquet, Lance) and high-performance file systems.

The base salary range for this full-time position is $124,091-$210,000, 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.

Ready to apply?

Apply to XPENG

XPENG

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Staff Machine Learning Engineer - AI Foundation

XPENG · Santa Clara, CA

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AI Infrastructure Team SV Office Posted Apr 14, 2026

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 full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.

Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.

Job Responsibilities:

Optimize transformer-based LLMs for low-latency and high-throughput inference.
Optimize kernels and model graphs using tools like CUDA, Triton, and custom fused operators.
Implement and benchmark (Quantization, Knowledge distillation, structured and unstructured pruning, KV-cache optimization, etc.).
Deploy optimized models across GPUs, CPUs, and edge acceleators.
Contribute to internal tooling and documentation for model optimization flows.

Minimum Skill Requirements:

Master in CS/CE/EE, or equivalent, with 5-8 years of industry experience.
Good knowledge of PyTorch.
Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.

Preferred Skill Requirements:

Previous experience in the autonomous driving industry.
Knowledge of Torchscript and Nvidia TensorRT.
Strong programming skills in Python and C++
Familiarity with GPU CPU, NPU, DSP architecture.
Deep understanding of memory bandwidth, compute bottlenecks, and hardware-aware model optimization
Being efficiently in solving complex problems collaboratively on larger teams

What do we provide:

A fun, supportive and engaging environment.
Infrastructures and computational resources to support your work.
Opportunity to work on cutting edge technologies with the top talents in the field.
Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
Competitive compensation package.
Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $215,280 - $364,320, 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.

Ready to apply?

Apply to XPENG

XPENG

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Senior Machine Learning Engineer - AI Foundation

XPENG · Santa Clara, CA

Apply now

AI Infrastructure Team SV Office Posted Apr 14, 2026

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 full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.

Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.

Job Responsibilities:

Optimize transformer-based LLMs for low-latency and high-throughput inference.
Optimize kernels and model graphs using tools like CUDA, Triton, and custom fused operators.
Implement and benchmark (Quantization, Knowledge distillation, structured and unstructured pruning, KV-cache optimization, etc.).
Deploy optimized models across GPUs, CPUs, and edge acceleators.
Contribute to internal tooling and documentation for model optimization flows.

Minimum Skill Requirements:

Master in CS/CE/EE, or equivalent, with 3 + years of industry experience.
Good knowledge of PyTorch.
Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.

Preferred Skill Requirements:

Previous experience in the autonomous driving industry.
Knowledge of Torchscript and Nvidia TensorRT.
Strong programming skills in Python and C++
Familiarity with GPU CPU, NPU, DSP architecture.
Deep understanding of memory bandwidth, compute bottlenecks, and hardware-aware model optimization
Being efficiently in solving complex problems collaboratively on larger teams

What do we provide:

A fun, supportive and engaging environment.
Infrastructures and computational resources to support your work.
Opportunity to work on cutting edge technologies with the top talents in the field.
Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
Competitive compensation package.
Snacks, lunches, dinners, 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.

Ready to apply?

Apply to XPENG

XPENG

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Data Infrastructure Engineer

XPENG · Santa Clara, CA

Apply now

AI Infrastructure Team SV Office Posted Apr 14, 2026

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.

Requirements:

BS in Analytics, Computer Science, Mathematics or related fields (or relevant experience).
1+ 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.
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 $124,091-$210,000, 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.

Ready to apply?

Apply to XPENG

XPENG

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