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UID:submissions.supercomputing.org_SC25_sess553_job155@linklings.com
SUMMARY:Tech Engagement Lead - Model Builder
DESCRIPTION:NVIDIA is seeking a highly influential Generative AI Technical
  Engagement Lead to evangelize for, drive, and support the seamless adopti
 on and accelerate the performance of NVIDIA's accelerated computing stack 
 across critical AI model development initiatives with leading AI model bui
 lders. As a key technical driver, you will facilitate deep technical integ
 ration and deepen our collaboration around NVIDIA's pioneering hardware, s
 ystems, and software libraries within their core development pipelines. Th
 is role demands a leader who can operate strategically at the intersection
  of product vision, advanced technical execution, and high-level customer 
 engagement, directly influencing model architecture optimization, training
  infrastructure investments, and ensuring the deployment of robust, scalab
 le generative AI solutions that redefine the state-of-the-art.\n\nW​hat Yo
 u Will Be Doing:\n\nLead Technical Engagement: Engage with senior technica
 l leaders and research teams at AI model builders. Optimize their workflow
 s by leveraging NVIDIA's complete stack for their end-to-end generative AI
  workflows. Serve as a primary technical point of contact.\n\nDrive Integr
 ation: Accelerate the technical integration of NVIDIA's core generative AI
  technologies. This includes NVIDIA GPU architectures, DGX systems, high-p
 erformance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and
  inference libraries like TensorRT. Integrate these into the training and 
 inference pipelines of large model builders.\n\nStrengthen Partnerships: S
 upport and strengthen technical implementation plans with partner AI engin
 eering and researchers. Define clear technical objectives, performance bre
 akthroughs, and timelines. Align these with their long-term model developm
 ent goals and NVIDIA's AI strategy.\n\nInfluence Product Roadmaps: Represe
 nt the software needs of large model builders to internal NVIDIA product a
 nd engineering teams. Contribute to product roadmap decisions by synthesiz
 ing findings from large-scale model training and inference environments. I
 dentify cross-industry patterns and advocate for improvements to NVIDIA's 
 core technologies.\n\nMaintain Strategic Relationships: Conduct regular ca
 dence meetings. Document insights, track progress, and provide consistent 
 internal reporting on the adoption and impact of NVIDIA technologies.\n\nS
 howcase Best Practices: Share standard methodologies for crafting and opti
 mizing highly scalable generative AI model development pipelines across al
 l stages. Focus on the context of large model development.\n\nStay Updated
 : Keep current with the latest NVIDIA hardware, libraries, and system upda
 tes. Proactively share relevant insights and optimizations with partner mo
 del development teams.\n\nWhat We Need To See:\n\nB.S. degree or equivalen
 t experience.\n\n7+ years of experience in technical product or engineerin
 g roles. Focus areas include AI/ML, high-performance computing, or distrib
 uted systems. Emphasis on core technology integration and partner collabor
 ations is key.\n\nExtensive experience working with or developing platform
 s that facilitate large-scale AI/ML training and inference workloads. This
  includes distributed systems, data infrastructure, and groundbreaking GPU
  cluster technologies.\n\nHands-on knowledge of large model architectures 
 (e.g., Transformers, Diffusion Models). Familiarity with core deep learnin
 g frameworks (e.g., PyTorch, JAX), and NVIDIA AI acceleration libraries (e
 .g., CUDA, cuDNN, NCCL, TensorRT, NeMo). Understand techniques for model c
 ustomization, distributed training, and inference orchestration.\n\nStrong
  understanding of compute infrastructure environments. This includes GPU c
 luster management, high-speed networking, parallel file systems, and deplo
 yment across on-premise and cloud infrastructures. Possess specific unders
 tanding of how large model builders operate at scale.\n\nProven ability to
  communicate and influence senior leadership across engineering and resear
 ch leaders at partner organizations. Link NVIDIA technology capabilities t
 o crucial AI model development and business value.\n\nSuccessfully navigat
 ed fast-paced environments, taking decisive action to achieve results. Esp
 ecially valuable in AI research collaborations.\n\nSkilled at connecting w
 ith engineers, researchers, executives, and multi-functional teams.\n\nWay
 s to Stand Out From The Crowd:\n\nHands-on experience with large language 
 models (LLMs), diffusion models, distributed training frameworks, and adva
 nced optimization techniques. Ability to prototype quickly and integrate i
 nto model development pipelines.\n\nInfluence complex product and research
  decisions by nurturing positive relationships and understanding model bui
 lder needs.\n\nEager drive, strategic curiosity. Anticipate market trends 
 in AI, shape NVIDIA's roadmap, and champion innovation. Understand the lar
 ge model builder landscape.\n\nAct as a technical advocate for NVIDIA GPU 
 systems and software stack within assigned large model builder partners. S
 howcase its technical capabilities and strong value proposition.\n\nUnders
 tanding of large-scale system performance optimization, container orchestr
 ation (e.g., Kubernetes), and Cloud Native technologies for AI workloads.\
 n\nJoin NVIDIA at a crucial time as we pioneer Generative AI growth. We ar
 e in the infancy stage of building and scaling our Generative AI business 
 for large model development. This role offers a unique opportunity to join
  this rapid expansion. NVIDIA's hardware, systems, and software libraries 
 are at the heart of this growth. They empower large model builders to revo
 lutionize their operations with powerful AI capabilities. This is your cha
 nce to be a key member of a team that will shape the future of AI model de
 velopment, working with the world's leading AI research labs and the most 
 innovative technologies. Your contributions will directly impact the traje
 ctory of our Generative AI success, making this an unparalleled opportunit
 y for professional growth and significant impact.\n\nYour base salary will
  be determined based on your location, experience, and the pay of employee
 s in similar positions. The base salary range is 184,000 USD - 287,500 USD
 .\nYou will also be eligible for equity and benefits.\n\nRegistration Cate
 gory: Technical Program Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Ex
 hibits Reg Pass\n\nCountry: United States of America\n\nCompany: NVIDIA Co
 rporation\n\nIn-Person / Remote: Remote\n\nPart Time / Full Time: Full Tim
 e\n\nPosition Type: Permanent\n\n
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