Own compute resources for model training and research at an AI interpretability lab in San Francisco.
Posted by employer 1 day ago
First seen on Joblaze 19 hours ago
Last verified on the company career page 19 hours ago
Skills & Technologies
What you'll build
Must have
Practical constraints
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Compute Lead at Goodfire is responsible for managing the allocation and sourcing of compute resources essential for model training and research. This role requires expertise in navigating GPU availability and making strategic decisions to optimize resource use across various teams. Ideal candidates will have a strong background in infrastructure and operations, with a focus on high-stakes resource management. Goodfire's fast-paced environment emphasizes ownership and initiative, making it suitable for individuals who thrive under pressure.
Joblaze insights
Quick facts
From the original posting
We’re hiring a Compute Lead to own one of the most critical resources at the company: our compute for model training, research, and customers. You’ll run everything from how we allocate our compute to how we source, test, and secure capacity. You’ll make the day-to-day calls that determine how far our world-class research and product ambitions can go.
We’re looking for someone who can navigate GPU scarcity and partner negotiations with rigor, and moves with exceptional urgency. You’ll need strong judgment to balance competing demands across teams and the conviction to make hard trade-offs rather than split the difference. You might be the right fit if you find the intersection of infrastructure, operations, and high-stakes resource allocation exhilarating.
We are hiring for this position in our San Francisco office who’d be onsite 5 days a week.
The expected salary range for this position is $200-400k.
This role reports to our Head of Finance.
Standard company text repeated across Goodfire's postings is omitted here.
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