Senior Inference Engineer, AGI
Amazon AGI · US, CA, Sunnyvale
Big Tech AIonsitesenior
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
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