Senior Solutions Architect, HPC

1 Month ago • 5 Years + • Research & Development • $148,000 PA - $287,500 PA

Job Summary

Job Description

NVIDIA seeks Senior Solutions Architects to support customers building HPC and AI solutions using NVIDIA's latest technologies. This role involves partnering with various teams, engaging with developers and researchers, and assisting universities in adopting NVIDIA technology. Responsibilities include understanding customer needs, defining high-value solutions, and collaborating on exciting projects. The ideal candidate will possess strong experience in accelerated computing, GPU programming (CUDA, OpenMP, etc.), deep learning, and excellent communication skills. Some travel is required.
Must have:
  • 5+ years in accelerated computing
  • GPU parallel computing knowledge
  • Scientific application porting/optimization
  • Strong programming (Python, C++)
  • Deep Learning expertise
  • Excellent communication skills
Good to have:
  • Experience with NVIDIA GPUs and parallel programming libraries (CUDA, OpenMP, OpenACC, MPI, NCCL, UCX, NVSHMEM)
  • Excellent C/C++ programming skills (debugging, profiling, optimization)
  • Experience with engineering/academic research community
  • Familiarity with distributed computing platforms, containers, and scheduling tools
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA is seeking outstanding Solutions Architects to assist and support customers that are building solutions with our newest High Performance Computing (HPC) and Artificial Intelligence (AI) technologies. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software 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 us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects focused on HPC and AI. You will also collaborate with a diverse set of scientific researchers, developers and customers in Higher Education and Research. You should be comfortable working in a dynamic environment, and have experience with HPC, AI and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

What You Will Be Doing:

  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

  • Dynamically engaging with developers, scientific researchers, data scientists

  • Working closely with universities to help them adopt and build creative solutions using NVIDIA technology

  • Some travel is required for this role, you are empowered to find the best way to support and make our customers successful

What We Need To See:

  • MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 5+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs

  • Experience porting and/or optimization scientific applications targeting GPUs

  • Strong fundamentals in programming, optimizations and software design, especially in Python and C++

  • Strong problem-solving and debugging skills

  • Excellent knowledge of theory and practice of Deep Learning at scale

  • Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, and communication runtime (MPI, NCCL, UCX, NVSHMEM)

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Experience working with engineering or academic research community supporting HPC or AI

  • Familiarity with distributed computing platforms, containers and scheduling tools

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future 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 status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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