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DTSTAMP:20250626T233644Z
LOCATION:Exhibit Hall A3 - Job Fair Inside
DTSTART;TZID=America/New_York:20241119T103000
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UID:submissions.supercomputing.org_SC24_sess543_job132@linklings.com
SUMMARY:Senior Solutions Architect, Generative AI — Inference
DESCRIPTION:NVIDIA is seeking outstanding AI Solutions Architects to assis
 t and support customers that are building solutions with our newest AI tec
 hnology. At NVIDIA, our solutions architects work across different teams a
 nd enjoy helping customers with the latest Accelerated Computing and Deep 
 Learning software and hardware platforms. We're looking to grow our compan
 y, and build our teams with the smartest people in the world. Would you li
 ke to join us at the forefront of technological advancement? You will beco
 me a trusted technical advisor with our customers and work on exciting pro
 jects and proof-of-concepts focused on Generative AI and Large Language Mo
 dels. You will also collaborate with a diverse set of internal teams on pe
 rformance analysis and modeling of inference software. You should be comfo
 rtable working in a dynamic environment, and have experience with Generati
 ve AI, Large Language Models, Deep Learning and GPU technologies. This rol
 e is an excellent opportunity to work on an interdisciplinary team with th
 e latest technologies at NVIDIA!\n\nWhat You Will Be Doing\n\n• Partnering
  with other solution architects, engineering, product and business teams. 
 \n\n• Understanding their strategies and technical needs and helping defin
 e high-value solutions.\n\n• Dynamically engaging with developers, scienti
 fic researchers, and data scientists, which will give you experience acros
 s a range of technical areas.\n\n• Strategically partnering with lighthous
 e customers and industry-specific solution partners targeting our computin
 g platform.\n\n• Working closely with customers to help them adopt and bui
 ld solutions using NVIDIA technology.\n\n• Analyzing performance and power
  efficiency of deep learning inference workloads.\n\n• Some travel to conf
 erences and customers may be required.\n\nWhat We Need To See\n\n• BS, MS,
  or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mat
 hematics, or other Engineering or related fields (or equivalent experience
 )\n\n• 5+ years of hands-on experience with Deep Learning frameworks such 
 as PyTorch and TensorFlow\n\n• Strong fundamentals in programming, optimiz
 ations and software design, especially in Python\n\n• Strong problem-solvi
 ng and debugging skills\n\n• Excellent knowledge of theory and practice of
  Large Language Models and Deep Learning inference\n\n• Excellent presenta
 tion, communication and collaboration skills\n\n• Desire to be involved in
  multiple diverse and creative projects\n\nWays To Stand Out from the Crow
 d\n\n• Experience with NVIDIA GPUs and software libraries, such as NVIDIA 
 NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM\n\n
 • Excellent C/C++ programming skills, including debugging, profiling, code
  optimization, performance analysis, and test design\n\n• Familiarity with
  parallel programming and distributed computing platforms\n\n• Prior exper
 ience with DL training at scale, deploying or optimizing DL inference in p
 roduction\n\nThe base salary range is 148,000 USD – 339,250 USD. Your base
  salary will be determined based on your location, experience, and the pay
  of employees in similar positions.\n\nYou will also be eligible for equit
 y and benefits. NVIDIA accepts applications on an ongoing basis. \n\nNVIDI
 A is committed to fostering a diverse work environment and proud to be an 
 equal opportunity employer. As we highly value diversity in our current an
 d future employees, we do not discriminate (including in our hiring and pr
 omotion practices) on the basis of race, religion, color, national origin,
  gender, gender expression, sexual orientation, age, marital status, veter
 an status, disability status or any other characteristic protected by law.
 \n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pass, Tutor
 ial Reg Pass, Exhibits Reg Pass\n\nCountry: USA\n\nCompany: NVIDIA\n\nIn-P
 erson / Remote: In-person, Remote\n\nPart Time / Full Time: Full Time\n\n
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