Job description 

In this role, you will work with NVIDIA Cloud Functions and Web Services teams to design and deploy AI based APIs for training, fine-tuning and inferencing of our Picasso-Edify products on public and private cloud, based on groundbreaking NVIDIA technology. You will also work with our customers and AI partners to improve and scale up our Cloud Services by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud.

What you'll be doing:

Set and drive best practices within engineering organization for cloud related development and deployments

Working with teams across NVIDIA to design, implement and deploy microservices

Participate in code reviews, debugging of production systems, coordinating incident management follow-up and contributing to the software system directly through code contributions

Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

Address workload, security and privacy and architectural requirements and understand and resolve technical challenges

Occasionally help debug critical service disruption, bottlenecks, and provide fixes

Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

BE/ MS in Computer Science or equivalent experience

10+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

5+ years of working experience in cloud engineering roles

Proficiency in languages like GoLang, Python, Javascript or C/C++

Experience in authentication and identity management and cloud security

Experience in using data analytics tools for debugging and dashboarding purposes

Exposure to cloud storage and databases

Exposure to Deep Learning and Machine Learning concepts

Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

Excellent verbal communication and presentation skills in English

Ways to stand out from the crowd:

Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

Experience with AI frameworks and tools on GPUs