---
title: 'Senior Staff Physical AI Data Algorithm Engineer at XPENG'
canonical: 'https://feeny.ai/job/senior-staff-physical-ai-data-algorithm-engineer-xpeng-santa-clara-7pvh0nt8x3yy'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Staff Physical AI Data Algorithm Engineer at XPENG

- **Company:** XPENG
- **Location:** Santa Clara, CA
- **Posted:** 2026-05-18
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/xpengmotors/jobs/8554408002

## 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.

Job Description

Define the overall architecture of the vehicle-cloud integrated data closed-loop from a strategic perspective, making it the core infrastructure that supports weekly model iteration, cross-regional large-scale expansion, and safe, compliant, and auditable operations. Lead the design of a highly available and scalable vehicle-cloud integrated data closed-loop system architecture, covering the entire link from on-vehicle data collection, encrypted upload, cloud access, preprocessing, storage, annotation scheduling, training data generation to simulation evaluation and feedback. At the same time, explore the next-generation AI Agent-centric data closed-loop architecture, formulate the architecture evolution roadmap from a strategic level, balance short-term delivery and long-term technical debt, and ensure the architecture has the scalability to meet business scale needs in the next 3-5 years.

Focusing on the development direction of embodied intelligence and model self-training, continuously explore new AI technologies and data Infra & toolchain development technologies to achieve efficient and high-quality flow of the entire link from data collection, data transmission, data processing, data clustering, data mining, data evaluation, data delivery to data effect feedback, and realize the continuous evolution of data lifecycle costs, data architecture and closed-loop engineering system.

Job Responsbilities

- Responsible for the design and optimization of the vehicle-cloud integrated data closed-loop architecture: Build and maintain the full-link large closed-loop system from on-vehicle data upload to cloud training and simulation evaluation, ensuring efficient and secure data flow between the vehicle and the cloud to support rapid model iteration.

- Build and maintain the data closed-loop toolchain: Lead the selection, development and integration of modules such as data processing links, data mining, collection and annotation tools, and visualization tools to improve the automation level and processing efficiency of data from original collection to usable data sets.

- Establish data lineage and version management mechanisms: Design and implement a data lineage tracking system to achieve full-process traceability of data from production, processing to use; establish strict corresponding relationships between data sets, annotation versions, and model versions to support problem attribution and iterative backtracking.

- Explore the next-generation AI Agent-centric data closed-loop technology: Research and introduce AI Agent-based automated data processing and mining methods, explore the application of Agents in scenarios such as scene recognition, annotation assistance, and simulation use case generation, and promote the evolution of data closed-loop towards a higher level of intelligence.

- Support data work throughout the entire model development cycle: Deeply participate in the entire process of the model from data preparation, pre-training, fine-tuning, evaluation to on-board deployment and continuous optimization, understand the specific data needs of the model at each stage, and provide targeted data strategy support.

- Define high-quality data standards and guide data production: According to the key needs of different models at different stages (such as basic capability building, shortcoming repair, generalization improvement, etc.), clarify the characteristics of high-quality data (diversity, representativeness, scarcity, authenticity, etc.), guide data collection, cleaning and annotation work, and ensure model training effects.

## Requirements

- Master's degree or above in Computer Science, Artificial Intelligence, Automation, Vehicle Engineering or related majors, with more than 3 years of work experience in multi-modal physical AI or AI data platform. In-depth understanding of the architecture and process of multi-modal physical AI data closed-loop, with integrated practical experience in on-vehicle data upload, cloud data processing, training and simulation integration.

- Candidates with experience in large-scale AI training data governance are preferred, including the construction of data standard systems, data quality governance, data asset management, cost and efficiency optimization, as well as practical experience in the implementation of massive multi-modal data production and circulation systems.

- Familiar with the construction and use of data closed-loop toolchains, including data processing, mining, annotation, visualization and other modules, with relevant development or in-depth use experience.

- Have practical experience in the implementation of data lineage and version management, understand the importance of the association between data sets and model versions, and have a sense of data asset management.

- Have research or practical interest in the direction of AI Agent-centric data closed-loop, and have the ability to explore cutting-edge technologies.

- Familiar with the entire life cycle of model development, and deeply understand the key role of data in model performance (generalization, robustness, security).

- Able to analyze the data needs of the model at different stages, have the ability to define and evaluate high-quality data, and candidates with experience in guiding data production and annotation are preferred.

- Have good cross-team collaboration ability, able to work efficiently with algorithms, engineering, annotation, testing and other teams to promote the landing of data closed-loop.

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.

## About XPENG

## Company Overview
- **One-liner**: XPENG is a Chinese global AI mobility technology company designing and manufacturing smart electric vehicles, eVTOL aircraft, and humanoid robots, powered by in-house full-stack advanced driver-assistance systems and AI.
- **Entity Type**: Public (NYSE: XPEV, HKEX: 9868)
- **Headquarters**: Guangzhou, Guangdong, China
- **Founded**: 15 August 2014
- **Founders**: He Xiaopeng (Chairman & CEO), Xia Heng (Henry Xia), He Tao, Yang Chunlei

## Core Business
- **Primary industry/industries**: Automotive, Aerospace, Robotics (AI mobility)
- **Target customers**: B2C (premium smart EV buyers globally), B2B (fleet operators, robotaxi services)
- **Mission or purpose statement**: To transform future mobility through intelligent revolution, from road to air, as the "Explorer of Future Mobility" [xpeng.com](https://www.xpeng.com/brand)

## Products & Services
- **Smart Electric Vehicles (EVs)**: SUVs (G6, G9), sedans (P7, P5), and MPVs — all equipped with XPILOT/VLA intelligent driving systems. Type: Hardware + Embedded Software.
- **XPILOT / VLA 2.0**: Full-stack advanced driver-assistance system (ADAS) using vision-only sensors and 4D mmWave radar. Type: AI Software.
- **XPeng AeroHT (Land Aircraft Carrier)**: Modular flying car — a 6x6 range-extended eVTOL carrier van. Type: Hardware (eVTOL).
- **IRON Humanoid Robot**: Next-generation general-purpose humanoid robot for embodied AI applications. Type: Hardware + AI Software.
- **Robotaxi**: Mass-produced autonomous ride-hailing vehicle (GX platform), targeting pilot operations in 2026. Type: Service + Hardware.
- **XPENG Charging Network**: Self-operated ultra-fast charging stations (2,398+ ultra-fast stations as of Q1 2026). Type: Infrastructure.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (as of mid-2026, market cap fluctuates with NYSE/HKEX trading).
- **Key Metric**: Full-year 2025 revenue of CN¥76.72 billion (~$10.6B) with 429,445 vehicles delivered (126% YoY growth). Recorded first-ever quarterly net profit in Q4 2025 (RMB0.38B). [Wikipedia](https://en.wikipedia.org/wiki/XPeng)
- **Notable Investors/Partners**:
  - **Volkswagen Group**: Strategic partner ($700M investment for 4.99% stake in 2023; joint development of E/E architecture and two VW-brand EVs for China).
  - **Alibaba, Foxconn, IDG Capital**: Early investors.
  - **BlackRock**: 5.3% long position in Class A shares (as of Dec 2025).
  - **Salvador Caetano Group**: Distribution partner for Spain/Portugal.
  - **International Motors Ltd**: UK launch partner (2025).
- **Growth Signals**:
  - 126% YoY vehicle delivery growth in 2025.
  - Expanded to 60 countries/regions globally by end of 2025.
  - 96% YoY growth in overseas deliveries (45,008 vehicles in 2025).
  - First quarterly net profit in Q4 2025 (RMB0.38B).
  - Gross margin improved to 20.6% in Q1 2026.
  - 733 physical sales stores across 256 cities in China (as of Q1 2026).
  - Began mass production of robotaxi in May 2026 (Reuters).

## Competitive Advantages
- **In-house full-stack AI stack**: Unique integration of EV hardware, autonomous driving software (VLA 2.0), and AI foundation models — not reliant on third-party suppliers for core intelligence.
- **First-mover in flying cars**: AeroHT subsidiary is a leader in eVTOL vehicles, with the Land Aircraft Carrier entering production.
- **Strong strategic partnership with Volkswagen**: Provides access to global automotive expertise, supply chain leverage, and co-developed platforms.
- **MSCI ESG "AAA" rating** (highest among global automakers for three consecutive years) — a differentiator for ESG-conscious investors and talent. [xpeng.com](https://www.xpeng.com/brand)
- **Global R&D footprint**: Engineering centers in Silicon Valley (Santa Clara, San Diego), Munich, Shenzhen, and Guangzhou — enabling talent acquisition across AI, robotics, and automotive domains.

## Strategic Focus
- **Embodied AI & Physical AI**: Shifting from "EV maker" to "global embodied intelligence company" — integrating AI into vehicles, robots, and flying cars.
- **Robotaxi commercialization**: Mass production of robotaxi in 2026, targeting fully driverless operations by early 2027.
- **Global expansion**: Deepening presence in Europe (UK, Spain, Portugal, Germany) and entering new markets (60 countries by end of 2025).
- **Cost efficiency & margin improvement**: Achieving positive quarterly net profit (Q4 2025) and growing gross margins (20.6% in Q1 2026) through scale and platform sharing.
- **VLA 2.0 rollout**: Full deployment of vision-only intelligent driving system across all new models, removing LiDAR for cost reduction.

## Why Work Here
- **Cutting-edge AI & Robotics**: Work on the frontier of autonomous driving, humanoid robots (IRON), and eVTOL aircraft — rare multi-domain exposure.
- **Global, diverse team**: Employees across China, USA (Santa Clara, San Diego), and Europe (Munich) — strong cross-cultural collaboration. [xpeng.com](https://www.xpeng.com/brand)
- **Strong engineering culture**: Open roles in AI infrastructure, computer vision, machine learning (foundation models, perception, end-to-end), robotics (whole-body control, dexterous manipulation), and software engineering. [Greenhouse](http://job-boards.greenhouse.io/xpengmotors)
- **Growth trajectory**: Rapid scaling (126% delivery growth, new markets, robotaxi launch) — opportunity to make an outsized impact.
- **Public company stability**: Listed on NYSE and HKEX with significant institutional backing (Volkswagen, BlackRock).
- **Perks & environment**: Self-built smart factories (Industrial 4.0), strong ESG commitment (AAA rating), and a mission-driven culture focused on "exploring future mobility."
- **Remote/Hybrid**: Not explicitly stated, but roles are location-specific (Santa Clara, San Diego, Shenzhen, Guangzhou, Munich) suggesting on-site/hybrid presence.

## Sources
1. [XPENG Official Brand Page](https://www.xpeng.com/brand)
2. [XPENG Official Website](https://www.xpeng.com/)
3. [XPENG Careers (Greenhouse)](http://job-boards.greenhouse.io/xpengmotors)
4. [XPENG Join-Us Page](https://www.xpeng.com/join-us)
5. [Wikipedia - XPeng](https://en.wikipedia.org/wiki/XPeng)

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