Build with us: Engineering roles (San Francisco)

Posted 16 Hours Ago
Be an Early Applicant
San Francisco, CA
Entry level
Artificial Intelligence • Machine Learning • Software
The Role
The job involves building an advanced operating system that manages compute resources for AI applications. Responsibilities include enhancing data transfer, ensuring reliability, and optimizing workload distribution across platforms, while also providing tech support for clients and continually improving the development process.
Summary Generated by Built In

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 clear 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 new 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 Strong Compute

Top Skills

Elixir
JavaScript
PyTorch
The Company
Sydney, New South Wales
13 Employees
On-site Workplace

What We Do

We're building the Future of Cloud. Purpose built for AI that shapes the world. 10x-1000x faster. Zero config for end users. Zero bill shock. Fast. Clean. Strong.

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