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Senior Backend Software Engineer (AI Audio Data Infrastructure)

Jack • United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Build scalable backend systems and data pipelines for processing terabytes of audio data at a high-growth AI startup. Design infrastructure for AI labs, architect APIs, and collaborate with researchers to optimize data workflows. Requires 2-6 years of backend engineering experience with Python and TypeScript in a fast-paced, VC-backed environment.

Key Highlights
Design and maintain scalable backend systems and data processing pipelines for AI audio data infrastructure
Collaborate with researchers to iterate on data collection and processing workflows
Architect and optimize APIs and services used by thousands of daily users
Key Responsibilities
Build scalable backend systems and data processing pipelines for AI audio data infrastructure
Design and maintain infrastructure to support rapid customer demand growth
Collaborate with researchers to iterate on data collection and processing infrastructure
Architect and maintain APIs and services used by thousands of daily users
Work across speaker platform, lab/researcher tools, and internal tooling
Technical Skills Required
Python TypeScript AWS
Benefits & Perks
$175,000–$225,000 base salary plus competitive early-stage equity
100% health coverage on most plans, unlimited PTO, daily meals, and Barry’s classes
Visa sponsorship (including OPT and H1B transfers)
Nice to Have
Node.js
PostgreSQL
Audio, ML, or data-infrastructure domain experience
WebRTC
FFmpeg

Job Description

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 for one of our clients.

You'll join a tight-knit engineering team at one of the fastest-growing AI startups — founded in 2024 by former Scale AI engineers and operators, backed by NVIDIA, Meritech, Amplify Partners, First Round Capital and Y Combinator, and already serving most FAANG companies and frontier AI labs as customers. The team is ~50-66 people in San Francisco, and this role works across multiple products on a platform that processes terabytes of speech data every day.

What You'll Be Doing

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