AI Inference Engineer – Stealth Startup | San Fransisco Onsite
Compensation: $200K–$300K + equity
Join a stealth-stage team backed by prominent academic research and successful technical founders, working at the bleeding edge of AI infrastructure. As generative AI continues to scale rapidly, the bottleneck is no longer training—it’s inference. This team is rebuilding the core systems that power inference, from kernel-level GPU optimizations to full-stack distributed deployment.
This role is ideal for engineers who want to go deep: working on quantization, KV caching, attention mechanisms like FlashAttention, and designing new strategies for parallelism across heterogeneous compute. You'll contribute to an integrated software-hardware stack that enables large-scale model deployment with dramatically improved performance, efficiency, and quality—at production scale.
What You’ll Be Doing:
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This is a hands-on, foundational role in a fast-moving environment, offering the chance to shape the backbone of the next generation of AI systems.
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