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DTSTAMP:20260202T201220Z
LOCATION:Hall 6
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UID:submissions.supercomputing.org_SC25_sess553_job151@linklings.com
SUMMARY:Product Manager, AI Platform Kernels and Communication Libraries
DESCRIPTION:NVIDIA's AI Software Platforms team seeks a technical product 
 manager to accelerate next-generation inference deployments through innova
 tive libraries, communication runtimes, and kernel optimization frameworks
 . This role bridges low-level GPU programming with ecosystem-wide develope
 r enablement for products including CUTLASS, cuDNN, NCCL, NVSHMEM, and ope
 n-source contributions to Triton/FlashInfer.\n\nAs NVIDIA Product Managers
 , our goal is to enable developers to be successful on the NVIDIA Platform
 , and push the boundaries of what is possible with their AI deployments! F
 or Inference, we are the champions inside NVIDIA for AI developers looking
  to accelerate their deployments on GPUs. We work directly with developers
  inside and outside of the company to identify key improvements, create ro
 admaps, and stay alert on the inference landscape. We also work with NVIDI
 A leaders to define clear product strategy, and marketing team teams to bu
 ild go-to-market plans. The Product Management organization at NVIDIA is a
  small, strong, and impactful group. We focus on enabling deep learning ac
 ross all GPU use cases and providing extraordinary solutions for developer
 s. We are seeking a rare blend of product skills, technical depth, and dri
 ve to make NVIDIA great for developers. Does that sounds familiar? If so, 
 we would love to hear from you!\n\nWhat you'll be doing:\n\nArchitect deve
 loper-focused products that simplify high-performance inference and traini
 ng deployment across diverse GPU architectures.\n\nDefine the multi-year s
 trategy for kernel and communication libraries by analyzing performance bo
 ttlenecks in emerging AI workloads.\n\nCollaborate with CUDA kernel engine
 ers to design intuitive, high-level abstractions for memory and distribute
 d execution.\n\nPartner with open-source communities like Triton and Flash
 Infer to shape and drive ecosystem-wide roadmaps.\n\nWhat we need to see:\
 n\n5+ years of technical PM experience shipping developer products for GPU
  acceleration, with expertise in HPC optimization stacks.\n\nExpert-level 
 understanding of CUDA execution models and multi-GPU protocols, with a pro
 ven track record to translate hardware capabilities into software roadmaps
 .\n\nBS or MS or equivalent experience in Computer Engineering or demonstr
 ated expertise in parallel computing architectures.\n\nStrong technical in
 terpersonal skills with experience communicating complex optimizations to 
 developers and researchers.\n\nWays to stand out from the crowd:\n\nPhD or
  equivalent experience in Computer Engineering or a related technical fiel
 d.\n\nContributed to performance-critical open-source projects like Triton
 , FlashAttention, or TVM with measurable adoption impact\n\nCrafted GitHub
 -first developer tools with >1k stars or similar community engagement metr
 ics\n\nPublished research on GPU kernel optimization, collective communica
 tion algorithms, or ML model serving architectures\n\nExperience building 
 cost-per-inference models incorporating hardware utilization, energy effic
 iency, and cluster scaling factors\n\nYour base salary will be determined 
 based on your location, experience, and the pay of employees in similar po
 sitions. The base salary range is 144,000 USD - 218,500 USD for Level 3, a
 nd 168,000 USD - 258,750 USD for Level 4.\nYou will also be eligible for e
 quity and benefits.\n\nRegistration Category: Technical Program Reg Pass, 
 Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass\n\nCountry: United
  States of America\n\nCompany: NVIDIA Corporation\n\nIn-Person / Remote: I
 n-person\n\nPart Time / Full Time: Full Time\n\nPosition Type: Permanent\n
 \n
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