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Senior Inference Engineer, AGI

Amazon AGI · US, CA, Sunnyvale

Big Tech AIonsitesenior
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At a glance

Highlights

  • Own inference for real-time multimodal conversational AI end to end.
  • Make frontier-scale speech models run fast enough to feel human in real time.
  • Close the loop between live serving and training that improves conversation.

Ideal candidate

Systems-minded engineer who thrives at the science-to-production boundary and obsesses over real-time feel. You enjoy owning ambiguous, high-leverage problems end to end with scientists and hardware partners.

Requirements

  • Experience optimizing inference for large-scale multimodal models including attention and KV-cache
  • Experience with quantization, speculative decoding, operator fusion and paged KV-cache
  • Experience developing high-performance kernels for production serving
  • Experience profiling with Nsight Compute/Systems and roofline analysis
  • Experience building real-time streaming serving with continuous batching and scheduling
  • Experience with multi-GPU inference including tensor parallelism
  • Experience building offline rollout and reward-model serving for RL

Lab profile

About Amazon AGI

Amazon's AGI lab building frontier LLMs, generative AI, and real-time multimodal conversational assistants.

What they build

  • Large language models
  • Multimodal conversational AI
  • Generative AI products

Known for

  • Frontier model research with RL gyms
  • Real-time inference optimization
  • AI agent security and monitoring
  • Responsible LLM development
More about Amazon AGI →
Apply on the lab’s site ↗

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