GenAI Infra Specialist SA, AWS WWSO Startup

Do you want to help define the future of technology on AWS Generative AI as part of the Specialist Solutions Architect team in the Go-To-Market (GTM) Startup team? Are you passionate about AI infrastructure Basic qualifications: - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience conveying complex technical concepts to both technical and business audiences - 5+ years of experience in technology domain areas (e.g., systems engineering, cloud infrastructure, HPC, ML/AI, distributed computing) - 2+ years of experience designing, implementing, or consulting on large-scale AI/ML infrastructure with hands-on experience on GPU-based computing, ML training infrastructure, and inference serving systems Preferred: - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with vLLM, SGLang, TensorRT or similar platforms in production environments, or experience in performant kernel development (CUTLASS, FlashInfer) - Experience with container orchestration for ML: EKS, Kubernetes operators for ML KubeRay, Karpenter, Keda, K8/DRA - Experience with HPC schedulers and managed platforms: Slurm, AWS PCS (Parallel Computing Service), SageMaker HyperPod - Experience with fine-tuning techniques: LoRA, QLoRA, RLHF, DPO, knowledge distillation, Quantization, KV optimization Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, NY, New York - 144,500.00 - 195,400.00 USD annually USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually