As a Founding AI Infrastructure Engineer at Piris Labs, you will architect a high-performance inference platform from the ground up. You’ll solve complex distributed systems problems across the stack, including multi-node serving, intelligent request routing, and GPU orchestration. This is a rare opportunity to define the foundational technology for the future of AI infrastructure.
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Founding AI Infrastructure Engineer at Piris Labs
Join Piris Labs (YC W26) as a Founding AI Infrastructure Engineer in San Francisco to build the full-stack networking layer for AI inference. You will architect high-performance serving systems, solve distributed KV-cache challenges, and own the core infrastructure of a category-defining company. This role offers founding engineer equity and the chance to work alongside world-class systems engineers and physicists on the most challenging problems in modern computing.
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Location
San Francisco, United States
Compensation
Not Disclosed + Equity
Company
Piris Labs
Role overview
Piris Labs offers a full-stack inference service that eliminates the AI data movement bottleneck by pairing proprietary photonic hardware with vertically optimized solutions for ultra-fast, low-latency AI inference powered by proprietary interconnect technology. The company focuses on building unified infrastructure for AI, including breakthrough direct conversion of electricity to light for unprecedented optical efficiency, making AI unit economics scalable.[1][2][3][4][6]
What you will do
- Architect and build a production-grade distributed inference platform featuring multi-node model serving and automated GPU fleet management.
- Develop network-aware request routing and distributed KV-cache management to minimize latency and maximize hardware efficiency.
- Implement high-performance networking protocols and systems using tools like eBPF, RDMA, and NCCL to optimize distributed AI workloads.
Who this is a fit for
- Demonstrates exceptional fundamentals in distributed systems, networking, operating systems, and concurrency with a strong builder mentality.
- Possesses deep proficiency in systems languages such as Go, Rust, or C++, and experience with Python for AI orchestration.
- Has a background in high-performance computing, cloud infrastructure, or Kubernetes-based platforms, with a drive to master emerging AI hardware technologies.
Why this role is remarkable
- Join a YC-backed team raising a ~$20M seed round, founded by leaders from Meta, X, and MIT with early revenue and government partnerships.
- Gain massive technical ownership by building a category-defining inference layer from first principles, rather than maintaining legacy systems.
- Directly influence the engineering culture, hiring strategy, and product direction as one of the first five employees at the company.
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I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Piris Labs wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.