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LOCATION:West Building\, Exhibit Hall C
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UID:siggraph_SIGGRAPH 2025_sess618_job_115@linklings.com
SUMMARY:Senior Solutions Architect, HPC and Generative AI Deployment
DESCRIPTION:NVIDIA is seeking outstanding Solutions Architects to assist a
 nd support customers that are building solutions with our newest High Perf
 ormance Computing (HPC) and Artificial Intelligence (AI) technologies. At 
 NVIDIA, our solutions architects work across different teams and enjoy hel
 ping customers with the latest Accelerated Computing and Deep Learning sof
 tware and hardware platforms. We're looking to grow our company, and build
  our teams with the smartest people in the world. Would you like to join u
 s at the forefront of technological advancement? You will become a trusted
  technical advisor with our customers and work on exciting projects focuse
 d on HPC and GenAI. You will also collaborate with a diverse set of scient
 ific researchers and developers at Universities and Research Institutions.
  You should be comfortable working in a dynamic environment, and have expe
 rience with HPC, GenAI and GPU technologies. This role is an excellent opp
 ortunity to work in an interdisciplinary team at NVIDIA!\n\nWhat You Will 
 Be Doing\n\nPartnering with other solution architects, engineering, produc
 t and business teams. Understanding their strategies and technical needs a
 nd helping define high-value solutions\n\nDynamically engaging with develo
 pers, scientific researchers, and data scientists, gaining experience acro
 ss a range of technical areas\n\nStrategically partnering with lighthouse 
 customers and researchers to help them adopt and build creative solutions 
 using NVIDIA technology\n\nAnalyzing performance and power efficiency of A
 I workloads on Kubernetes\n\nSome travel to conferences and customers is r
 equired for this role\n\nWhat We Need To See\n\nBS, MS, or PhD in Computer
  Science, Electrical/Computer Engineering, Physics, Mathematics, other Eng
 ineering or related fields (or equivalent experience)\n\n8+ years of hands
 -on experience with accelerated computing and deep Learning frameworks suc
 h as PyTorch\n\nExperience porting and/or optimizing scientific applicatio
 ns targeting GPUs\n\nStrong fundamentals in programming and software desig
 n, especially in Python and C++\n\nExperience with containerization and or
 chestration technologies, monitoring, and observability solutions for AI d
 eployments\n\nExcellent knowledge of theory and practice of AI at scale\n\
 nExcellent presentation, communication and collaboration skills\n\nWays To
  Stand Out From The Crowd\n\nExperience with NVIDIA GPUs and parallel prog
 ramming libraries, such as CUDA, OpenMP, OpenACC, communication libraries 
 and runtime (MPI, NCCL, UCX, NVSHMEM)\n\nExcellent C/C++ programming skill
 s, including debugging, profiling, code optimization, performance analysis
 , and test design\n\nExperience working with academic research community s
 upporting HPC or AI\n\nFamiliarity with distributed computing platforms, c
 ontainers and scheduling tools\n\nPrior experience with DL training at sca
 le, deploying or optimizing DL inference in production\n\nYour base salary
  will be determined based on your location, experience, and the pay of emp
 loyees in similar positions. The base salary range is 184,000 USD - 287,50
 0 USD.\nYou will also be eligible for equity and benefits.\n\nApplications
  for this job will be accepted at least until July 29, 2025.\nNVIDIA is co
 mmitted to fostering a diverse work environment and proud to be an equal o
 pportunity employer. As we highly value diversity in our current and futur
 e employees, we do not discriminate (including in our hiring and promotion
  practices) on the basis of race, religion, color, national origin, gender
 , gender expression, sexual orientation, age, marital status, veteran stat
 us, disability status or any other characteristic protected by law.\n\n
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