Emergent Labs
Technology
StaffEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Engineer at Emergent Labs. Skills: Distributed systems, Autonomous agents, Reliability engineering, Program synthesis, Large-scale infrastructure. Architect Agent Infrastructure. Design systems for autonomous agents”
Industry & Context.
First-principles thinking; Solving ambiguous problems
What They're Looking For.
Must Have
9+ years building large-scale distributed systems, Experience owning architecture for critical production infrastructure, Deep expertise in concurrency, Deep expertise in distributed computing, Deep expertise in reliability, Deep expertise in performance, Deep expertise in fault tolerance, History of driving technical strategy across multiple teams, Backend expertise in Go, Backend expertise in Python, Backend expertise in Java, Backend expertise in C++, Backend expertise in Rust
Nice to Have
Experience with AI systems is helpful
What You'll Do.
Architect Agent Infrastructure
Design systems for autonomous agents
Build for Planetary Scale
Develop backend systems
Develop infrastructure systems
Solve Reliability for Non-Deterministic Systems
Create new approaches for validation
Create new approaches for observability
Create new approaches for debugging
Create new approaches for evaluation
Create new approaches for fault tolerance
Drive Technical Direction
Set architectural standards
Create New Engineering Paradigms
Influence engineering culture
Mentor senior engineers
Help build high-talent-density organization
How You'll Work.
Team & Collaboration
Cross-functional teams; Senior engineers
Full Job Description
Software engineering is about to change more in the next five years than it has in the last fifty. At Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent. Not copilots. Not code-completion tools. Complete software systems. Since launching publicly, Emergent has grown to: $100M ARR in under 8 months 11 Million+ users across 190+ countries 12 Million+ applications built on the platform $100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator We're now tackling the hardest problems in AI-powered software creation: How do autonomous agents reliably build production systems? How do we verify correctness when outputs are non-deterministic? How do we build trust, safety, observability, and fault tolerance into systems that reason? How do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time? These aren't solved problems. There are no playbooks. That's why we're hiring. The Opportunity This is not a traditional Staff Engineer role. You won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure. You will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself. You'll work on problems at the intersection of: Distributed systems Autonomous agents Reliability engineering Program synthesis Large-scale infrastructure Runtime execution environments Verification and correctness The systems you build will influence how millions of applications are created. What You'll Own Architect Agent Infrastructure Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve. Build for Planetary Scale Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.
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