Backend Engineer, Audio Data Pipelines & APIs

David AI

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Health, dental, and vision coverage
FSA & HSA access
401k access
Meals 2x daily through DoorDash
Barry's classes

Job summary

David AI in San Francisco is seeking a Backend Engineer to build scalable data pipelines and robust APIs for processing terabytes of audio data daily. You will collaborate with researchers and operations to deploy production‑grade infrastructure.

The role emphasizes fast iteration, real-time processing, and staying current with the latest backend technologies, from Node.js to AWS, to help power our audio data platform.

Qualifications

  • 2+ years of backend engineering experience.
  • Strong backend fundamentals with scalable systems, APIs, and data pipelines.
  • Experience delivering engineering solutions that provide customer value.
  • Ability to work in a fast-paced environment with attention to detail.

Responsibilities

  • Design and build scalable backend systems and core data processing pipelines.
  • Architect and maintain APIs and services used by thousands of users.
  • Build, deploy, and evaluate ML and DSP-based solutions to enhance data understanding.
  • Iterate with researchers and Operations to support new data collection.
  • Stay up-to-date with cutting-edge technologies for backend, data, ML, and signal processing.

Skills

Backend engineering
API design
Data pipelines
Scalable systems
Production-grade software

Tools

Node.js
tRPC
PostgreSQL
AWS
WebRTC
FFmpeg
TypeScript

Job description

David AI in San Francisco is seeking a Backend Engineer to build scalable data pipelines and robust APIs for processing terabytes of audio data daily. You will collaborate with researchers and operations to deploy production‑grade infrastructure.

The role emphasizes fast iteration, real-time processing, and staying current with the latest backend technologies, from Node.js to AWS, to help power our audio data platform.

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