C

Senior Backend Software Engineer - Data Infrastructure (AI Audio Processing)

Confidential • 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This Job is No Longer Active This position is no longer accepting applications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 AI audio infrastructure at a high-growth startup. Architect APIs and tools for leading AI labs, solving critical data bottlenecks in speech and audio processing. Own end-to-end infrastructure decisions as the company scales with enterprise demand.

Key Highlights
Architect and build backend systems, data pipelines, and researcher-facing tooling for AI audio infrastructure
Work across three core products with full ownership of infrastructure decisions at scale
2-6 years of backend engineering experience required, with preference for high-growth startup environments
Key Responsibilities
Design and implement scalable backend systems and data pipelines for processing terabytes of audio data daily
Develop APIs and infrastructure for AI labs and enterprise tech companies to process and analyze speech/audio data
Collaborate across products (backend systems, data pipelines, and researcher-facing tooling) with full ownership of infrastructure decisions
Solve complex data challenges in audio AI, including emotion, tone, pace, and accent detection
Technical Skills Required
Python TypeScript Backend Systems Architecture
Benefits & Perks
$175K–$225K annual base salary + competitive equity
On-site location in San Francisco, CA (5 days/week)
Open to visa transfers (OPT, H1B)
Nice to Have
Familiarity with Node.js
Experience with PostgreSQL
Domain experience in audio, ML, or data infrastructure
Exposure to WebRTC, FFmpeg, or real-time data pipelines

Job Description

Backend Software Engineer - Data Infrastructure

Company: $75M+ funded — AI Data Infrastructure

Location: On-site, San Francisco, CA (5 days/week in-office)

Salary: $175K–$225K + competitive equity

Sponsorship: open to visa transfers (OPT, H1B)

We're hiring several Backend Software Engineers for a fast-growing, well-funded startup building the data layer for audio AI. The founding team are former engineers and operators from leading AI infrastructure companies, and in under a year the company has landed a majority of the largest AI labs and enterprise tech companies as customers.

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