Feature Development: write production-grade Go and Python.
Performance Engineering: optimize with caching, batching, and quantization.
Model Integration: help build model catalogs and automated benchmarks.
Operational Excellence: manage a global GPU footprint with 99.9% uptime.
Continuous Learning: learn architectures and GPU orchestration with senior engineers.

🎯 Requirements

Foundational Knowledge: 1–4 years in software engineering; interest in ML/genAI.
Technical Proficiency: Python or Go and REST APIs.
Problem Solving: proactive troubleshooting for production systems.
Collaboration: strong communication and team-first mindset.
Tooling Curiosity: Docker/Kubernetes and cloud infrastructure familiarity.

🎁 Benefits

Career development: resources, conferences, and LinkedIn Learning access.
Well-being: EAP, local meetups, flexible time off.
Equity and ESPP: equity grants and Employee Stock Purchase Program.

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