Systems Engineering Manager
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About the role
AI needs a new infrastructure layer. We're building it at Modal. 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're looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you'll spend roughly half your time on technical contribution and half on people management, depending on the need. You'll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization.
Requirements
- At least 10 years of industry experience, including 3 years experience in a leadership role
- Experience building high-performance distributed systems at a large scale
- Strong background in cloud infrastructure
- Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Proficient in systems-level languages such as Rust, C, C++, or Java
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Company Intel
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