Backend Software Engineer
About this role
We are looking for a Backend Software Engineer with 2+ years of experience to build the pipelines, systems, and infrastructure that power how leading AI labs process and make sense of audio data. You'll join a tight-knit engineering team at one of the fastest-growing AI startups — backed by NVIDIA, Meritech, and First Round Capital — working across multiple products to help scale a platform already serving most FAANG companies.
What will you be doing?
Building scalable backend systems and data processing pipelines that connect and power all three of David AI's products
Designing infrastructure that helps the platform scale efficiently as customer demand grows rapidly
Working across the speaker platform, lab/researcher tools, and internal tooling products
Collaborating closely with researchers to iterate on data collection infrastructure
Architecting and maintaining APIs and services that thousands of users interact with daily
Key Requirements
2+ years of backend engineering experience with proficiency in Python and TypeScript
Experience at high-growth, VC-backed startups (not exclusively large/legacy companies)
Strong CS degree from a top ~50 US program (or equivalent, e.g., University of Waterloo)
Demonstrated ownership of zero-to-one projects with measurable business impact
Experience building scalable systems and data processing pipelines in production
Company at a glance
David AI is an audio data research company founded in 2024 by former Scale AI engineers that provides critical infrastructure for AI development, serving most FAANG companies and leading AI labs with over $50M in Series B funding.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Team is sharp, humble, ambitious, and tight-knit
Lean team that met while working at Scale AI
Obsess over execution
Bring an R&D approach to work with same rigor as AI labs
Looking for the best research, engineering, product, and operations minds
Know someone who'd be great for this?
