Hybrid Staff Software Engineer at Xpeng motors
Xpeng motors · San Diego/ Santa Clara, CA, United States Of America · Hybrid

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Sponsored by CourseraJob 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 infrastrucutre 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 finetuning LLM for multimodal usecases.
- Strong experience in designing and implementing highly horizontally-scalable architecture
- Devoping, deploying and monitoring cloud infrastructure is a strong plus.