Staff Technical Program Manager - AI Team

Confirmed live in the last 24 hours

XPENG Motors

Compensation

$125,580 - $212,520/year

Santa Clara, CA

On-site

Posted March 18, 2026

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.

As a Staff Technical Program Manager, you would be planning and coordinating with various components teams software stack for XPENG vehicles. At XPENG KPI driven development process is backbone of our engineering efforts. You will also plan and coordinate delivery of this KPI driven development process infrastructure. Another key responsibility would be to streamline and optimize agile software development practices followed by various teams and help team leads run their team efficiently.

You will be working with teams comprising of best in class model, software and infrastructure engineers to ensure best in class performance. Your work will ensure that we deliver the most reliable mass market autonomous vehicle solution.

Job Responsibilities:

Define the roadmap for VLA model development with clear milestones (data collection, model training, simulation validation, on-road testing).
Coordinate resource allocation and prioritization across algorithm, engineering, data, and testing teams.
Manage program risks, identify technical bottlenecks (e.g., quantization accuracy loss, real-time performance gaps) and drive resolution.
Track OKRs and KPIs (model accuracy, inference latency, corner case coverage).

Basic Qualifications:

Bachelors or Masters in computer science or other related engineering field.
5 years + of technical program management experience in engineering or related fields.
Solid foundation and experience in agile software development practices and hands on ability to optimize agile software development processes.
gomachine learningaidataproduct