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Technical Toolkit:
- Must have mastery of Python and shell scripting, with comfort in CUDA-adjacent performance code.
- Hands-on experience with vLLM or SGLang for high-performance inference serving.
- Solid grasp of GPU architecture, LLM inference bottlenecks, and FlashAttention techniques.
Basic Qualifications:
- Bachelor's or Master's degree in CS or related field with 5+ years of ML/AI engineering experience.
- Proven track record of deploying and optimizing models in production environments.
- Experience with profiling tools and GPU utilization improvement is essential.
Personal Attributes:
- Ownership mentality—you take pride in seeing optimizations through from profile to production.
- Curiosity and lifelong learning to stay ahead in fast-changing hardware and serving frameworks.
- Consultative spirit to translate technical complexity into business value for clients.
Egen
Egen is a fast-growing technology company with a data-first mindset, partnering with clients on Google Cloud and Salesforce to drive action through data and insights. We are a team of dedicated engineers who thrive on solving tough problems and continually innovate to achieve fast, effective results.