XPeng Motors is one of China’s leading smart electric vehicle (“EV”) companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
Job Responsibilities:
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Design and implement tools and infrastructure to improve engineering efficiency of machine learning engineers daily workflows
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Design and implement complex workflow on cloud and on premise infrastrucutre to provide insights into Software Quality and Release Readiness of features.
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Leverage LLMs to bring efficiency to existing established processes of triaging, analysis and troubleshooting.
Minimum Requirements:
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BA/BS degree in Computer Science, related field or equivalent practical experience
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5+ years developing backend services (we primarily write C++ and Python)
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3+ experience working on complex Machine learning infrastructure
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Experience developing and maintaining machine learning production systems deployed to the cloud and on premise
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Experience in using Bazel for Complex large scale machine learning infrastructure
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Experience with modern python tooling like Ruff, Mypy, Typeguard and pytest
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Experience with Supporting MLOps
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Experience working in a fast paced environment.
Preferred Requirements:
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Experience of working on Autonomous vehicle stack
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Experience in the automotive industry.
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Experience in finetuning LLM for multimodal usecases.
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Strong experience in designing and implementing highly horizontally-scalable architecture
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Devoping, 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.