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This position was posted on July 10, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Deepgram Inc. logo

Backend Engineer- Inference Services

Job Overview

Location

USA | Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization.
  • • Develop processes for measuring, building, and optimizing services to maximize system performance.
  • • Debug complex system issues that include networking, scheduling, and high performance computing interactions.
  • • Rapidly customize backend services to support our customer needs.
  • • Partner with Product to design and implement new services, features, and/or products end to end.
  • • Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity.
  • • Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work.

🎯 Requirements

  • • 3+ years of experience in an industry role.
  • • Programming experience in Rust (or C, C++), with competence in Python.
  • • Excellent communication and organizational skills, both written and verbal.
  • • A high level of experience and understanding of version control; preferably git.
  • • Comprehensive experience with UNIX-style systems.

🏖️ Benefits

  • • Competitive salary.
  • • Comprehensive benefits package.
  • • Flexible work arrangements.
  • • Opportunities for professional growth and development.

Skills & Technologies

Python
Rust
Git
Backend
Remote

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Deepgram Inc. logo
Deepgram Inc.
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About Deepgram Inc.

Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.

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