Intern will design and optimize software to deploy large-scale AI models on production vehicles, profile and improve inference across compute, memory, and I/O, reduce latency and power use on embedded automotive platforms, and deliver production-ready, fleet-scalable performance optimizations.
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.
Key Responsibilities
- Design and optimize software for deploying large-scale AI models in production vehicles.
- Profile and improve inference performance across compute, memory, and I/O systems.
- Reduce latency and improve power efficiency on embedded automotive platforms.
- Deliver production-ready optimizations that scale reliably across the vehicle fleet.
- Master's or PhD in CS/CE/EE or equivalent, with relevant industry or research experience.
- Strong expertise in C++ and Python, including performance-sensitive, production-quality code.
- In-depth understanding of computer architecture and high-performance computing (memory hierarchy, parallelism, vectorization, scheduling).
- Proven experience in application performance analysis and optimization, using profiling tools to diagnose and resolve bottlenecks.
Preferred Qualifications
- Experience writing and optimizing CPU or CUDA kernels.
- Experience developing performance tooling and instrumentation (e.g., eBPF, perf, custom tracing/profiling frameworks) for production or embedded systems.
- Familiarity with embedded or automotive compute platforms (e.g., NVIDIA Orin, Drive) and their power/thermal constraints.
- Previous experience in the autonomous driving or robotics industry.
- Effective at solving complex problems collaboratively within larger cross-functional 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.
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.
XPeng Motors Palo Alto, California, USA Office
Palo Alto, CA, United States, 94301
Similar Jobs
Cloud • Mobile • Software
Own accounting integration discovery, design, configuration, testing, and validation between BuildOps and customer ERPs. Lead finance discovery, define mappings and integration logic, execute test plans, reconcile data, troubleshoot discrepancies, and produce reusable documentation and playbooks to ensure accurate end-to-end financial synces and minimal post‑go‑live issues.
Top Skills:
APIsBoomiCeligoCsvExcelGoogle SheetsIpaasMulesoftNetSuiteQuickbooks OnlineSage IntacctSpectrumViewpoint VistaWorkato
Artificial Intelligence • Fintech • Software
Lead architecture and development of production AI products (chatbots, document processing, agentic workflows) and centralized AI platform components (model routing, provider management, vector search, MCP). Build scalable, cloud-native integrations with accounting systems and external APIs, drive AI system design and context engineering, ensure observability and compliance, and mentor engineers while shaping company-wide AI standards and governance.
Top Skills:
Ai ObservabilityAWSConversational AiDocument ProcessingEmbeddingsLlm ApisModel Context Protocol (Mcp)PythonRest ApisRetrieval-Augmented Generation (Rag)RlhfSemantic SearchVector Search
Cloud • Mobile • Software
Lead discovery, design, configuration, testing, and validation of accounting integrations between BuildOps and customers' ERPs. Map GL/accounts/entities, build and execute test plans for AP/AR/POs/payments, reconcile data, troubleshoot discrepancies, document solutions, and advise customers on best practices to ensure scalable, accurate end-to-end syncs.
Top Skills:
APIsBoomiBuildopsCeligoCsvErpExcelGoogle SheetsIpaasMulesoftNetSuiteQuickbooks OnlineSage IntacctSpectrumViewpoint VistaWorkato
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
