Senior AI Performance and Efficiency Engineer
在手机上跟进您的申请 Whileresume 免费应用，支持 iPhone 和 Android。
职位介绍
Lead efforts to improve AI/ML model efficiency on GPU clusters, delivering productivity gains and substantial cost savings for researchers.
Build tools, frameworks, and apply ML techniques to detect, analyze, and mitigate efficiency bottlenecks across workloads.
Collaborate with researchers across Robotics, Autonomous Vehicles, LLMs, and video workloads to optimize diverse AI workloads.
Partner with hardware, software, and infrastructure teams to improve utilization, scalability, and end-to-end performance.
Profile, debug, and optimize training and inference end-to-end using Nsight Systems/Compute and NCCL for distributed training.
Stay current with AI/ML infrastructure developments and advocate for adopting new techniques to advance research capabilities.
Build tools, frameworks, and apply ML techniques to detect, analyze, and mitigate efficiency bottlenecks across workloads.
Collaborate with researchers across Robotics, Autonomous Vehicles, LLMs, and video workloads to optimize diverse AI workloads.
Partner with hardware, software, and infrastructure teams to improve utilization, scalability, and end-to-end performance.
Profile, debug, and optimize training and inference end-to-end using Nsight Systems/Compute and NCCL for distributed training.
Stay current with AI/ML infrastructure developments and advocate for adopting new techniques to advance research capabilities.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录您可能也感兴趣的职位
暂无高度相似的职位 — 以下是最新职位。