Source description
About the role
Beam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.
About the Role
We’re looking to hire someone to own inference research hands-on and find ways to lower cost per token and latency on our customer workloads.
Low-level inference optimization, from speculative decoding, quantization, KV-cache and memory management
Work directly with customers to optimize their production workloads, and apply your learnings to our platform as product improvements
High-level of autonomy to find the highest upside bets and guide the future of our inference platform based on your work
Skills & Experience
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Systems or research background in LLM inference
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Deep understanding of LLM serving, from the kernel to the scheduler
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History of shipping products or research that people use in production-like scenarios, whether academic or industry
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Excited to collaborate closely with customers
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Enthusiasm for developer tools, cloud native technologies, and open source software
Benefits
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Competitive salary and meaningful equity
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Join a fast-growing pre-series A company at the ground floor
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Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
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Opportunities to participate in events across the cloud native community
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Fitness stipend, learning budget, and much, much more
More at Beam