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Staff Engineer
Emergent Labs
Bangalore22h ago
- Seniority
- Staff
About the role
<p>Software engineering is about to change more in the next five years than it has in the last fifty.</p>
<p>At Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent.</p>
<p>Not copilots.</p>
<p>Not code-completion tools.</p>
<p>Complete software systems.</p>
<p>Since launching publicly, Emergent has grown to:</p>
<ul>
<li>$100M ARR in under 8 months</li>
<li>11 Million+ users across 190+ countries</li>
<li>12 Million+ applications built on the platform</li>
<li>$100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator</li>
</ul>
<p>We're now tackling the hardest problems in AI-powered software creation:</p>
<ul>
<li>How do autonomous agents reliably build production systems?</li>
<li>How do we verify correctness when outputs are non-deterministic?</li>
<li>How do we build trust, safety, observability, and fault tolerance into systems that reason?</li>
<li>How do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time?</li>
</ul>
<p>These aren't solved problems.</p>
<p>There are no playbooks.</p>
<p>That's why we're hiring.</p>
<h2><strong>The Opportunity</strong></h2>
<p>This is not a traditional Staff Engineer role.</p>
<p>You won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure.</p>
<p>You will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself.</p>
<p>You'll work on problems at the intersection of:</p>
<ul>
<li>Distributed systems</li>
<li>Autonomous agents</li>
<li>Reliability engineering</li>
<li>Program synthesis</li>
<li>Large-scale infrastructure</li>
<li>Runtime execution environments</li>
<li>Verification and correctness</li>
</ul>
<p>The systems you build will influence how millions of applications are created.</p>
<h2><strong>What You'll Own</strong></h2>
<h3><strong>Architect Agent Infrastructure</strong></h3>
<p>Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve.</p>
<h3><strong>Build for Planetary Scale</strong></h3>
<p>Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.</p>
<h3><strong>Solve Reliability for Non-Deterministic Systems</strong></h3>
<p>Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply.</p>
<h3><strong>Drive Technical Direction</strong></h3>
<p>Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems.</p>
<h3><strong>Create New Engineering Paradigms</strong></h3>
<p>Many of the challenges you'll face don't have established solutions.</p>
<p>You'll be expected to invent them.</p>
<h3><strong>Raise the Bar</strong></h3>
<p>Influence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organizations in the industry.</p>
<h2><strong>What We're Looking For</strong></h2>
<p>We're less interested in specific technologies and more interested in how you've thought about hard systems problems.</p>
<p>You likely have:</p>
<ul>
<li>9+ years building large-scale distributed systems</li>
<li>Experience owning architecture for critical production infrastructure</li>
<li>Deep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance</li>
<li>A history of driving technical strategy across multiple teams</li>
<li>Strong backend expertise in Go, Python, Java, C++, Rust, or similar languages</li>
</ul>
<p>You may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups.</p>
<p>Experience with AI systems is helpful but not required.</p>
<p>Exceptional systems engineers learn fast.</p>
<h2><strong>Who Thrives Here</strong></h2>
<ul>
<li>Engineers who prefer first-principles thinking over established playbooks</li>
<li>Builders who want ownership rather than coordination</li>
<li>People who enjoy solving ambiguous, unsolved technical problems</li>
<li>Engineers who optimize for impact, not titles</li>
<li>Individuals who want to help define an entirely new category of software</li>
</ul>
<h2><strong>Why This Role Exists</strong></h2>
<p>The software industry spent decades building tools that help engineers write code.</p>
<p>We're building systems that write software.</p>
<p>If successful, this will be one of the most important platform shifts in computing.</p>
<p>You'll help build the foundation.</p>
<h2><strong>Compensation</strong></h2>
<ul>
<li>Top-of-market salary</li>
<li>Employee stock options </li>
<li>Direct influence on company and technical direction</li>
<li>Opportunity to work alongside repeat founders, Olympiad medalists, and engineers from Google, Amazon, Dropbox, and leading AI companies</li>
</ul>
<p>The best time to join a category-defining company is before the category is defined.</p>
<p> </p>
Perks & benefits
- Equity Compensation
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