Determined AI - Developer Support Engineer - (Remote)

Determined AI - Developer Support Engineer - (Remote)

Job Description:

Deep learning has enormous promise but developing deep learning models at scale remains extremely complex, time-consuming, and expensive. At Determined AI, part of Hewlett Packard Enterprise, we are working to change that: our revolutionary open-source deep learning training platform enables deep learning engineers to train better models in less time, to seamlessly share GPU clusters, and to collaborate more effectively.

Our Developer Support Engineers work with our customers every day. They are the main interface between customers and our engineering organization. In this role, you will take on challenging issues that our customers face, working together with other engineers towards a resolution.

As a Developer Support Engineer, you can shape our customers' experiences with our products, as well as help define our support processes. You should be comfortable where systems, deep learning, customers, and engineering intersect.

Requirements:
• Strong skills in at least one scripting/programming language (preferably Python)
• Very comfortable with Unix/Linux systems
• Able to dive into code, handle customer escalations, and drive to resolution in a timely manner
• Strong problem-solving and analytical skills
• Excellent communication skills, both written and verbal, with a focus on documentation
• Demonstrable focus on the customer, including the ability to see past individual break/fix incidents to understand the customer's setup and requirements, and the ability to build relationships with customer engineers
• Ability and desire to occasionally work in the Determined codebase to tackle bug fixes, supportability improvements, and features

Preferred:
• Bachelor's or master's degree in Engineering, Computer Science, or similar
• Experience with containerization technology (Docker, etc.)
• Experience with relational databases
• Experience writing or ingesting REST endpoints
• Theoretical knowledge of machine learning is desired, but not required
• Knowledge of at least one cloud provider (AWS, GCP, or Azure)
• Curiosity/interest in continuous learning to stay at the forefront of challenges that can be addressed through AI

Our Engineering Process:

We use two-week engineering sprints to strike the right balance between execution and evaluating priorities. We structure our collaboration around projects:

The project lead is an individual contributor directly responsible for the execution of the project, including planning the technical solution, coordinating work with other engineers, and communicating progress to stakeholders.

Engineering managers ensure project leads at all levels of their careers have the support and guidance they need to fulfill these responsibilities effectively.

All code is reviewed by members of the team, following a specific set of guidelines to reduce ambiguity and drive to shipping efficiently.

Technical Stack:

- Linux

- Python

- Golang

- React

- TypeScript

- TensorFlow

- PyTorch

- Keras

- Docker

- Kubernetes

- PostgreSQ

Job:
Engineering
Job Level:
Expert

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.