Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams. Backed by Accel, General Catalyst and AI Grant.
About the role
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
What they're looking for
- 5+ years of experience writing high-quality production code
- Experience building high-performance distributed systems at a large scale (the more battle scars, the better)
- Strong cloud skills
- Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!)
- Ability to work in-person in our NYC or SF office
More about this role
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our...
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