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…
Skills: Python, TypeScript, Distributed systems, System design, LLM APIs
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$175k–$296k/yr
Full-time
postgraduate degree
Bonus, Equity, Competitive compensation package, Snacks, Lunches, Fun activities
Posted 38d ago
~40 hrs/week
Responsibilities
Design, build, and operate production-grade platform services and infrastructure while automating manual engineering workflows. Develop the agentic layer and semantic data models to enable agents to interact safely and effectively with internal systems.
Requirements
Requires a Master's degree in Computer Science or a related field and at least 5 years of experience in building production distributed systems. Proficiency in Python, TypeScript, and experience with AI coding tools and agentic frameworks are essential.
Full 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.
You will be a senior engineer on the team building our internal AI engineering platform — the systems, services, and automation that power how our engineers build and ship software. A core mission is connecting agents to real engineering decisions: giving agents a connected, semantic view of our systems and data, and letting them propose and safely execute actions against operational systems. The agentic layer (NL intake, agentic trouble-shooting, task orchestration, auto-research loop) is an important component, but the foundation of this role is strong software engineering: designing robust distributed systems, building reliable services and pipelines, and relentlessly automating manual workflows. You'll also work directly with internal and external customers to understand their workflows and drive adoption.
Job Responsibilities:
Design, build, and operate production-grade platform services and infrastructure with strong reliability, observability, and performance.
Identify manual, repetitive engineering workflows and eliminate them through self-service automation on the platform.
Build and evolve the agentic layer: agent lifecycle, tool/MCP integrations, sandboxed execution, multi-agent workflows.
Design the semantic data layer that grounds agents: model our systems, workflows, and decision data as connected objects and tools that agents can query and act on.
Build safe action execution paths: connectors to internal and operational systems, staged propose–validate–approve–commit flows, with granular access control and end-to-end decision lineage/audit.
Own system design for new platform capabilities end to end, from requirements through rollout and operations.
Work directly with customers: lead technical onboarding, gather requirements, debug production issues, and turn field feedback into roadmap priorities.
Establish best practices for agent evaluation, observability, and safety guardrails.
Minimum Skill Requirements:
Master's degree in Computer Science, Software Engineering, or related fields.
5+ years building and operating production distributed systems, with demonstrated strength in system design and software engineering fundamentals.
Proficiency in Python and TypeScript; solid grasp of databases, message queues, caching, and API design.
A builder's instinct for automation: a track record of turning manual processes into tools, pipelines, or self-service systems.
Hands-on experience with modern AI coding tooling and LLM APIs, including tool use/function calling.
Experience with agentic systems or task orchestration platforms (workflow engines, multi-agent frameworks, MCP servers, or similar).
Strong cross-team communication skills.
Preferred Skill Requirements:
Familiarity with Autonomous Driving terminologies and model development workflows.
Direct customer-facing experience: solutions engineering, technical onboarding, developer relations, or enterprise support.
Experience with data/domain modeling: semantic layers, knowledge graphs, or object models over heterogeneous data sources.
Experience integrating with enterprise or operational systems (internal platforms, legacy APIs, writeback to systems of record).
Experience with evaluation frameworks and observability for LLM applications.
Familiarity with sandboxing/isolation technologies.
Contributions to open-source agent frameworks, MCP servers, or developer tools.
Experience driving adoption of developer tooling within engineering organizations.
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 $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.
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future. In order to optimize its customers’ mobility experience, XPeng develops in-house its full-stack advanced driver-assistance system technology and in-car intelligent operating system, as well as core vehicle systems including powertrain and the electrical/electronic architecture. XPeng is headquartered in Guangzhou, China. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm.The Company’s Smart EVs are mainly manufactured at its plant in Zhaoqing and Guangzhou,Guangdong province.
For more information, please visit https://www.xpeng.com/
Offices: No. 8 Songgang Road, Changxing Street, Cencun, Tianhe District, Guangzhou, China, Guangzhou, Guangdong 510000, CN · Sony Tower. No.16 Guangshun South Avenue, Chaoyang district, Beijing, Beijing, Beijing 100000, CN · Valley, Palo Alto, Palo Alto 94301, US
How much do Technology jobs in Santa Clara, CA pay?
Based on 2806 listings with disclosed salaries, most technology jobs in Santa Clara, CA pay between $116k–$288k per year. Individual offers vary with seniority, company size, and specialization.
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There are currently 3,019 open technology positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
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