Staff Software Engineer

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.

Job Responsibilities:

• Design and implement tools and infrastructure to improve engineering efficiency of machine learning engineers daily workflows

• Design and implement complex workflow on cloud and on premise infrastructure to provide insights into Software Quality and Release Readiness of features.

• Leverage LLMs to bring efficiency to existing established processes of triaging, analysis and troubleshooting.

Minimum Requirements:

• BA/BS degree in Computer Science, related field or equivalent practical experience

• 5+ years developing backend services (we primarily write C++ and Python)

• 3+ experience working on complex Machine learning infrastructure

• Experience developing and maintaining machine learning production systems deployed to the cloud and on premise

• Experience in using Bazel for Complex large scale machine learning infrastructure

• Experience with modern python tooling like Ruff, Mypy, Typeguard and pytest

• Experience with Supporting MLOps

• Experience working in a fast paced environment.

Preferred Requirements:

• Experience of working on Autonomous vehicle stack

• Experience in the automotive industry.

• Experience in fine-tuning LLM for multimodal use cases.

• Strong experience in designing and implementing highly horizontally-scalable architecture

• Developing, deploying and monitoring cloud infrastructure is a strong plus.

The base salary range for this full-time position is $179,400 - $303,600 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.