Solutions Architect - HPC
Location: New York
Posted on: June 12, 2021
Are you a computational scientist or engineer passionate about
working on the frontiers of artificial intelligence and high
NVIDIA is searching for a Solutions Architect to work with
developers and scientist working on critical problems that demand
HPC and AI. Solutions Architects are the primary technical contacts
for our customers and engage deeply with scientific researchers and
application developers. We need individuals who can develop
positive relationships with customers, learn their requirements and
work to bring solutions that enable their success.
Your primary responsibilities will be to lead high performance
computing (HPC) and deep learning technical customer engagements
with a focus on developers and computational scientists at
universities and research institutions. You should be comfortable
working in a dynamic environment, and have experience with HPC,
deep learning and software and systems. Your ability to work
independently is important, and you will rely upon your excellent
communication skills during consulting engagements. We expect you
to work closely with the entire customer team, including sales,
program management and business development. Some travel to
conferences and customers will be required.
What you'll be doing:
Engage with customers to develop a keen understanding of their
goals, strategies, and technical needs - and help to define and
deliver high-value solutions that meet these needs.
Assist field business development in guiding the customer
through the sales process for GPU Computing products, being
responsible for the technical relationship and assisting customers
in building creative solutions based on NVIDIA technology.
Provide customer requirements to engineering to foster product
and platform improvements.
Be an industry leader with vision on integrating NVIDIA
technology into HPC architectures.
- Be an internal champion for Deep Learning and HPC among the
NVIDIA technical community.
What we need to see:
MS or PhD or equivalent experience in Engineering, Mathematics,
Physical Sciences, or Computer Science.
8+ years of work related experience in software development or
Machine Learning or HPC.
Programming experience with HPC languages such as C/C++/Fortran,
and data science languages like Python.
Parallel programming experience with OpenMP/MPI.
Experience with GPU Computing and CUDA/OpenACC programming.
Experience working with supercomputing and technical computing
Experience with modern Deep Learning software architectures and
frameworks including Tensorflow, PyTorch or other Deep Learning
Strong analytical and problem-solving skills.
Ambitious and independent with the ability to multi-task
effectively with minimal day-to-day direction.
- Strong written and oral communications skills leading to
effective collaboration with management and engineering.
Ways to stand out from the crowd:
- CUDA optimization experience.
- Experience programming embedded platforms e.g., NVIDIA Jetson
- Data Science experience.
- Experience using and running large-scale HPC resources, e.g.,
Slurm, PBS, etc.
- Cloud development/deployment experience e.g., Docker and
- Experience in data science methods and analysis.
NVIDIA is widely considered to be one of the technology world's
most desirable employers. We have some of the most brilliant and
talented people in the world working for us. If you're creative and
autonomous, we want to hear from you.
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
Keywords: Nvidia, New York , Solutions Architect - HPC, Other , New York, New York
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