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Xpeng Jobs (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

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 ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

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 ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

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 ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

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 ...

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Xpeng information

What is an Xpeng engineer?

An Xpeng engineer is a professional who works at Xpeng Motors, a leading Chinese electric vehicle (EV) manufacturer. These engineers are involved in designing, developing, testing, and improving various aspects of Xpeng's smart electric vehicles, including hardware, software, autonomous driving technology, and battery systems. They collaborate with cross-functional teams to create innovative solutions that enhance vehicle performance, safety, and user experience. Xpeng engineers often have expertise in fields like automotive engineering, software development, artificial intelligence, and electronics.

What are some common challenges faced by engineers working at Xpeng, and how does the company support their professional development?

Engineers at Xpeng often work on cutting-edge electric vehicle technologies, which can present challenges such as rapidly evolving project requirements and tight development timelines. Collaborative cross-functional teams help address these challenges by fostering open communication and knowledge sharing. Xpeng supports professional growth through internal training programs, mentorship opportunities, and regular exposure to innovative projects, helping engineers expand their skill sets and advance within the company.

What is the difference between Xpeng vs Software Engineer?

AspectXpengSoftware Engineer
Required CredentialsRelevant degrees in engineering, computer science, or related fields; technical certificationsBachelor's or higher in computer science, software engineering, or related fields; coding certifications
Work EnvironmentAutomotive tech, R&D labs, manufacturing facilitiesOffice settings, tech companies, startups, or remote work
Industry UsageAutomotive, electric vehicles, autonomous drivingTechnology, software development, IT services
Common Search & ComparisonAutomotive tech roles, EV industry jobsTech jobs, programming roles, software development careers

While Xpeng focuses on automotive and electric vehicle technology, a Software Engineer typically works in software development across various industries. Both roles require technical degrees and problem-solving skills, but Xpeng roles are more industry-specific to automotive innovation, whereas Software Engineers have broader applications in tech sectors.

What are the key skills and qualifications needed to thrive as an Xpeng Automotive Engineer, and why are they important?

To thrive as an Xpeng Automotive Engineer, you need a strong background in electrical, mechanical, or software engineering, often supported by a relevant degree and experience in automotive design. Familiarity with CAD software, embedded systems, and electric vehicle platforms is typically required, along with certifications in automotive safety or related fields. Strong problem-solving skills, innovation, and effective communication are soft skills that help you excel within cross-functional teams. These competencies are crucial for driving technological advancement, ensuring vehicle safety, and maintaining Xpeng's competitive edge in the rapidly evolving EV industry.
What cities are hiring for Xpeng jobs? Cities with the most Xpeng job openings:
Infographic showing various Xpeng job openings in the United States as of June 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 100% Physical job distribution.

Agentic Infrastructure Engineer Intern

XPENG

Santa Clara, CA

Other

Posted 19 days ago

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.
 
XPENG is building the next generation of enterprise AI infrastructure - autonomous, application-driven systems that power real-time decision making across autonomous driving and AI platforms. As part of our AI Enablement team, you will work on internal platforms at the frontier of LLM orchestration, multi-agent coordination, and automated workflow systems.
 
This role is ideal for candidates passionate about developer productivity, AI-native tooling, and scalable infrastructure. You will build systems for CI/CD, observability, evaluation, and workflow automation, while working closely with senior engineers across AI infrastructure and platform teams.
 
Key Responsibilities
  • Design and implement Electron-based desktop applications for prompt workflow visualization, process inspection, and self-service dashboards for non-engineering stakeholders.
  • Contribute to JavaScript/TypeScript components that enable LLM orchestration, AI workflow interoperability, pipeline automation, and MCP-compatible connectors.
  • Build and extend evaluation frameworks for verifying agent outputs and system reliability, including LLM-as-judge metrics, structured validation, and automated feedback loops.
  • Instrument operational observability tooling (e.g., LangFuse, OpenTelemetry, custom metrics) and develop automated dashboards to surface runtime insights and model performance trends.
  • Participate in the full engineering lifecycle including design reviews, implementation, testing, CI/CD integration, and Git-based collaboration workflows.
  • Collaborate closely with platform engineers and researchers on benchmark selection, failure analysis, prompt optimization, and quantitative evaluation methodologies.
Basic Qualifications:
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
  • Strong proficiency in JavaScript/TypeScript and modern frontend/backend development practices.
  • Experience with Electron Framework, including desktop application development, IPC communication, and renderer/main process architecture.
  • Familiarity with AI agent systems, LLM tooling frameworks, orchestration pipelines, or evaluation workflows.
  • Understanding of CI/CD fundamentals, automated testing pipelines, artifact publishing, and developer productivity tooling.
  • Experience designing evaluation or verification systems for AI outputs, structured data validation, or workflow automation.
  • Strong communication and documentation skills with the ability to clearly present technical ideas, PRs, reports, and experimental findings.
Preferred Qualifications:
  • Experience building internal AI developer tools, observability platforms, or workflow orchestration systems.
  • Familiarity with modern AI infrastructure frameworks such as LangFuse, OpenTelemetry, MCP, or related tooling ecosystems.
  • Experience with prompt engineering, automated evaluation pipelines, or agent reliability optimization.
  • Knowledge of modern frontend application architecture and performance optimization for Electron-based systems.
  • Experience working in fast-paced engineering environments with rapid iteration cycles and cross-functional collaboration.
  • Contributions to open-source projects or prior experience developing scalable AI infrastructure platforms.
What we are looking for:
  • Self-motivated and proactive in solving problems.
  • Comfortable operating in fast-moving, ambiguous environments.
  • Strong in debugging, systems thinking, and iterative problem solving.
  • Able to quickly learn unfamiliar systems and contribute meaningful improvements.
  • Clear communicators who collaborate effectively and provide thoughtful feedback.
  • Passionate about building reliable AI-native tools and 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.
 
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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