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Xpeng Jobs (NOW HIRING)

XPENG

Senior AI Data Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/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

Senior Staff AI Engineer

Santa Clara, CA

$122K - $168K/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

Senior Staff AI Engineer

Santa Clara, CA · On-site

$122K - $168K/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

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 ...

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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 May 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 100% Physical job distribution.

Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models

XPENG

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 24 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.
The Mission: We are building the next generation of L4 autonomous vehicles. Moving beyond traditional modular stacks, we are developing large-scale Vision-Language-Action (VLA) models and World Models to handle the infinite long-tail scenarios of global driving. As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior cloning to intelligent, zero-shot decision-making in diverse global markets.
Key Responsibilities:
  • Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
  • World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
  • Policy Evolution: Apply Advanced RL (Online/Offline) and IL to refine driving policies, focusing on long-horizon planning and complex multi-agent interactions.
  • Scaling & Data Strategy: Define scaling laws for driving foundation models, overseeing data curation, automated labeling, and post-training at a multi-billion parameter scale.
  • Global Generalization: Lead the model's adaptation strategy for overseas road conditions, ensuring robust performance across varying traffic laws and driving cultures.

Qualifications:
  • 5-8 years of expertise in Deep Learning, with a significant track record in VLM, VLA, or Embodied AI.
  • Proven experience in training and deploying Foundation Models (Transformers, LLMs) at scale.
  • Deep understanding of Sequential Decision Making, World Models, or Policy Gradient methods.
  • Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.).
  • A "Product-First" mindset: The ability to balance cutting-edge research with the deterministic requirements of L4 production vehicles.

What do we provide:
  • A fun, supportive and engaging environment
  • Infrastructures and computational resources to support your ML model development/research.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Opportunity to make significant impact on 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 $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.

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