Run:AI is bridging the gap between data science and computing infrastructure by creating a high-performance compute virtualization layer for deep learning, speeding the training of neural network models and enabling the development of large AI models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.

Run:AI provides organizations with a world-class machine learning platform to improve productivity and efficiency for data scientists. Our product provides a Run:AI unique HPC scheduler, relies on Run:AI advanced GPUs virtualization technology and makes GPUs first class citizens in Kubernetes. 

In this role you will be responsible for the following:

• Working with Run.AI’s customers on a daily basis to maximize the value from the Run.AI software

• Installing Run:AI Software on customer environments (Including dependencies such as Kubernetes, NVIDIA Drivers, Docker)

• Onboarding and training of customers. Perform training sessions for different customer personas such as IT administrators and Researchers (e.g. Data Scientists)

• Configuring and integrating Run.AI in the customer environment  (for example: integrating with organizational systems such as LDAP, connecting to an organizational docker registry, setup users and distribute profiles, UI setup)

• Troubleshooting issues and supporting customer’s technical issues post onboarding 

• Work closely with members of Support and Engineering teams to quickly resolve any client issues and drive customer post-sales satisfaction

• In-depth Experience in Linux / Unix Operating Systems

• Knowledge of technologies like Docker, Kubernetes, OpenShift

• Strong analytical and problem-solving skills 

• Excellent written and verbal communication skills in English 

• Ability to facilitate group workshops and processes

• Willing to travel to customer sites periodically based on customer and business needs

Preferred Qualifications

• B.Sc in Computer Science or equivalent.

• 2 or more years of experience in a Professional Services role or other similar customer facing roles such as Technical Account Management, Customer Support or Solution Engineering.

• Knowledge & Experience in Python or any other scripting language.

• Excellent presentation skills.

• Holds a Security Clearance

All your information will be kept confidential according to EEO guidelines.