Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high-performance computing (HPC)? NVIDIA is searching for a Solutions Architect Intern to join our team in Canada and help customers solve challenging problems using 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 researchers and developers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to foster machine learning technical engagements with Canadian customers. You should be comfortable working in a dynamic environment, and your ability to work independently is important.
What you’ll be doing:
Engage with AI researchers and engineers 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.
Facilitate AI use cases on the NVIDIA platform.
Collaborating with other solution architects, engineering and product teams, understanding their technical needs and helping define high-value solutions.
Developing proof of concept projects with NVIDIA technologies that have recently become generally available.
Strategically partnering with Canadian customers and industry-specific solution partners to help them adopt and build solutions using NVIDIA technology
What we need to see:
Currently pursuing a MS or PhD in Computer Science, Engineering, or related field from an accredited university.
Experience with modern deep learning software architectures and frameworks including TensorFlow, PyTorch, JAX, or other deep learning frameworks.
Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran.
Experience with GPUs and accelerated computing.
Ways to stand out from the crowd:
Excellent knowledge of theory and practice of deep learning, reinforcement learning, and/or large language models.
CUDA/GPU optimization experience.
Strong analytical and problem-solving skills.
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
Kerv Digital
IzEqual2 Tech
Bentley Systems
NVIDIA
General Assembly