In the midst of a compute crunch, Salad is sitting on an enormous supply of
tens of thousands of GPUs! We have the capacity, we have the tech stack, and
now we need experienced developers to help onboard a growing list of customers
needing to serve AI Inference at massive scale on Salad’s platform.
We are looking for a Solutions Architect with experience deploying AI Models
using containers to achieve deployment-success at large scale. Our customers
have found product-market-fit and need back-end architectures that support
100s of GPUs with high reliability and operability. Every deployment is
different and we are now growing a team of experienced developers and
solutions architects to help onboard customers to Salad’s fully managed
container service.
This role offers an incredible opportunity to join a GPU Cloud Provider with
massive growth potential in the ‘picks and shovels’ sweet spot of the hottest
market that is showing no sign of slowing down! Your work will help push Salad
to become one of the largest GPU cloud providers in the world, simultaneously
running millions of GPUs for thousands of customers!
What you’ll be Doing:
A considerable amount of time will be spent interacting directly with
customers, helping architect their AI deployments to be highly performant and
reliable across Salad’s distributed GPU infrastructure
Keeping up with the latest AI trends and performing benchmarks when the latest
open source models drop on Hugging Face, demonstrating Salad’s unmatched cost-
performance
Documenting what you know and sharing it with others. Providing reference
architectures, github repos, how-to guides, benchmarks and other blog posts to
support our marketing efforts
Support our business development team by quickly turning around benchmarks and
performance numbers to help close deals in the moment!
Answering questions and providing mentorship, to both customers and our
developer community on reddit, Hugging Face, Twitter, Hacker News and
elsewhere
Sharing feedback and customer requests with our product team, perhaps even
working directly alongside our engineering team to further the SaladCloud
platform and our managed container service
What we need to see:
A Computer Science or Engineering background, or equivalent experience
2+ years of work-related experience with machine/deep learning and AI
frameworks (tensorflow or pytorch)
5+ years of work-related experience with containers, cloud infrastructure, and
system architecture
Experience working with DevOps in cloud environments, including but not
limited to docker/containers, kubernetes, cloud APIs and other cloud
technologies
Deep understanding of high performance computing supporting AI Inference at
scale, GPU computing, networking, storage, and system design
Ability to multitask efficiently in a dynamic environment, a willingness to
roll up your sleeves and help out the team where needed
Strong analytical and problem solving skills
The ability to communicate effectively with customers and colleagues
Clear written and oral communication skills to produce engaging blog posts and
easy to follow reference architectures
To Stand out from the crowd:
Recent experience deploying AI models at scale, anything from the Hugging Face
trending list
Excellent customer facing skills and experience
Development experience with GPUs and a knowledge of Generative AI, LLMs, MLOps
and cloud oriented workflows using kubernetes/containers
Ability to think creatively to debug and solve complex problems
Salad Technologies focuses on Cloud Computing, Online Gaming, Cloud
Infrastructure, PC Gaming, and Blockchains. Their company has offices in Park
City, Salt Lake City, and Remote. They have a small team that's between 11-50
employees. To date, Salad Technologies has raised $22.6M of funding; their
latest round was closed on April 2022.
You can view their website at <https://www.salad.com/> or find them on
[Twitter](https://twitter.com/salad_chefs),
[Facebook](https://www.facebook.com/saladchefsapp/), and
[LinkedIn](https://www.linkedin.com/company/salad-technologies).
