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Alembic
San Francisco, California, USA
Source: Alembic careers · View original posting
From Alembic's posting. “We” and “our” refer to the employer.
Alembic is an applied science company building GPU-resident distributed data systems that deliver 10–100x performance for Fortune 500 clients including NVIDIA and Delta. We're Series B ($145M raised), ~70 people, headquartered in San Francisco with a New York office and our SV11 compute facility. Our stack runs on a 256-petaflop NVIDIA DGX cluster with NVL72 GPU infrastructure, combining Spiking Neural Networks, Graph Neural Networks, and causal inference to deliver real-time analytics that were previously impossible.
We're hiring a Senior Software Engineer onto our Applied AI team to build and extend the backend systems that power our platform. This is a hands-on role on a small team where your work ships to production quickly and directly shapes what our largest customers see. You'll work across Python-heavy backend services, data systems, and the infrastructure layer that connects them to our GPU-resident compute.
A note on "Applied AI."
Our work is causal, not generative AI. The "AI" in Applied AI refers to the causal, graph-based, and neural systems our science team builds — and your job is to make them fast, reliable, and usable in production. If you're looking for prompt engineering or LLM fine-tuning work, this isn't the role. If you want to build serious backend systems that happen to serve some of the most interesting applied science work being done anywhere, read on.
This is not a spec-in, spec-out role. You'll operate with ambiguity, make calls on tradeoffs, and partner directly with senior engineers and leadership on what to build and how.
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