Member of Technical Staff - Software Engineering Capabilities

About the role

You will work on frontier AI from day one. You will be finding the limits of the most capable models on earth before the public ever sees them and building the hard problems that push those limits further.

What You Will Do

• Hunt for where frontier models break across software, and build the hard, high-fidelity scenarios that expose those failures and push the ceiling of what the best models can do.
• Own the hardest problems on the roadmap end to end: multi-step workflows, realistic stakeholder interactions, large codebases with real conventions and technical debt, and challenging system design.
• Build verification robust enough that a frontier model can't hack it, and tell genuine capability gaps apart from artifacts of your own setup.
• Direct coding agents heavily in your day-to-day work, evaluate their output critically, and recognize when they are failing in subtle ways.
• Build the tooling your own work depends on.
• Mentor newer engineers on the team as it grows.

What We are Looking For

• Deep software engineering experience across multiple domains, with genuine expertise in at least one specialty: infrastructure, distributed systems, performance, security, compilers, databases, or similar.
• Proficiency in Python.
• Extensive hands-on experience with coding agents (Claude Code, Cursor, Codex, or similar), including an intuition for where they cut corners and how to direct them well.
• Strong intuition for how models behave, even without prior ML or AI experience.
• You can anticipate where a model will take shortcuts and design around that.
• Comfort working independently on complex, ambiguous problems with minimal direction.
• Track record of owning work end-to-end in previous roles.

What We Offer

• Competitive cash and equity compensation (>90th percentile)
• Ownership and autonomy in a fast moving startup environment
• Opportunity to work alongside senior and staff engineers from frontier labs and infrastructure companies, plus top ML engineers
• Health, vision, dental, benefits
• 401K match
• Lunch provided everyday onsite
• Weekly snack orders
• Visa sponsorship & relocation support available

Compensation Range

$180K - $300K