Nvidia Solution Architect Worldwide Field Operations - New College Grad 

United States, California 

76080767

What you’ll be doing:

• Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using NVIDIA technologies

• Partner with Sales Account Managers or Developer Relations Managers to secure design wins, assist in technical conversations and support the product through customer proof-of-concept evaluations

• Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues

• Work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments

• You will raise and provide timely advance warning of critical customer issues that require additional attention

• Present platform solutions to customers, partners, community, etc.

• Some rotation assignments might require up to 15% travel

What we need to see:

• Currently pursuing a Bachelors or Masters degree in Computer Science, Math, Physics or related technical field or equivalent experience

• Data Sciences, Deep Learning, or Machine Learning coursework

• Experience with at least one scripting language (i.e. Python)

• Programming skills in 1 or more high-level languages (C, C++, Java, etc)

• Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills

• Strong verbal and written communication skills, including presentation skills to engage any audience

• Strong collaboration and interpersonal skills

• Passion for continuous learning and knowledge transfer

• Enjoy working in a constantly evolving environment without losing focus

Ways to stand out from the crowd:

• Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing or other GPU related technologies

• Experience using TensorFlow, PyTorch or other DL framework

• Experience working with Docker containers and Kubernetes

• CUDA programming experience as well as experience working with both on-prem and cloud-based infrastructure

• System-level experience with both hardware and software as well as large scale systems management experience

• Exposure to cloud service platforms such as AWS, Azure, or GCP through coursework or through certification programs