Senior Inference Engineer, AGI

Amazon.com Services LLC, Boston, Massachusetts +2

Overview

We are looking for a Senior Inference Engineer to own inference for real-time multimodal

conversational AI. This is a full-stack inference role: you will work across the entire path a model

takes from research to production — shaping model architecture so it is servable, building the

real-time runtime that serves it within hard latency budgets, and building the offline systems

interaction naturalness

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Bachelor's degree in computer science or equivalent
Experience as a mentor, tech lead or leading an engineering team
2+ years of hands-on experience optimizing inference for neural models — not just using inference frameworks, but profiling and improving them
Strong understanding of deep learning architectures (transformers, attention mechanisms, autoregressive decoding) and their application to speech/audio or other multimodal domains
Production track record delivering latency-constrained, real-time inference systems under concurrent load
Experience with GPU performance optimization — memory hierarchy, occupancy, KV-cache management, and the accelerator programming model
Demonstrated ownership of a technical area — driving execution for a workstream and collaborating effectively across scientists and engineers
Experience with production LLM/multimodal serving internals (e.g., vLLM, TensorRT-LLM): scheduler, batching, block manager, sampler customization
Hands-on experience building real-time or streaming AI systems — speech, audio, or video — with hard latency budgets
Experience authoring custom GPU kernels (CUTLASS, Triton, raw CUDA/PTX), fused attention (FlashAttention-style), or quantized GEMM
Familiarity with model-compression and efficiency techniques — quantization, pruning, distillation, speculative decoding, long-context optimization
Experience building offline inference or rollout/reward-serving infrastructure for reinforcement learning or large-scale evaluation
Experience with distributed training and post-training pipelines (SFT through RL) — parallelism strategies, training stability, and multi-accelerator communication (NCCL, NVLink)
Familiarity with multiple hardware backends (NVIDIA GPU, AWS Neuron/Trainium, edge accelerators) and how architecture choices affect inference latency, memory, and cost
Background in speech-to-speech or audio generative models (codec models, autoregressive audio generation), speech recognition, or speech synthesis
Experience shipping research to production at scale — models serving real users, not just benchmark results
Contributions to open-source inference/kernel projects (vLLM, CUTLASS, FlashAttention, TensorRT-LLM, Triton, or similar)

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale – 193,300.00 - 261,500.00 USD annually

USA, MA, Boston – 168,100.00 - 227,400.00 USD annually

USA, WA, Seattle – 168,100.00 - 227,400.00 USD annually

Senior Inference Engineer, AGI

Overview

Senior Inference Engineer, AGI

Overview

Model Architecture & Inference Co-Design

locked in

quantify their quality/latency trade-offs

with minimal overhead

Real-Time & Interactive Runtime

second, streaming latency budgets under concurrent session load

against per-request latency SLAs for interactive workloads

output under concurrent session load

critical paths, and drive cost toward parity with existing production baselines

Offline Systems: Training, RL & Evaluation Infrastructure

generation and reward-model serving for reinforcement learning (RL/RLHF/RLAIF)

processing)

interaction naturalness

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