What would AI compute look like, if:
massive data transfer is free and instant
all the clouds feel like one cloud
workloads flow to the best compute for the job
clusters are extremely easy to use and reliable
cost controls are so explicit you never argue with a manager or need to build a plan for approval
Come answer that with us.
We want to work with people who:
want to be close to AI
enjoy learning recent skills
want to build a single operating system that spans all compute
Things we like:
building AI together
GPU chess hackathon
supporting bleeding edge research
compute grants
making things go fast, especially dev cycles
visibility.
tech that doesn't fall over.
We're hiring across:
JS for UI
PyTorch for User Examples
technical support for clients
Elixir for control systems, integration and billing
DevOps/Platform Engineer for reliability and management
If you hit one or more of these, and want to work in an OG startup house vibe in SF or Sydney, let's talk. Great food, late nights, all the GPUs.
Metric #1: Increase number of experiments run on Strong Compute
Metric #2: Reduce number of GPUs not managed by Solid Compute
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📌 Build With Us: Engineering Roles Sydney (Australia)
🏢 Strong Compute
📍 Australia