Software Engineering Internship

Deepgram

Software Engineering Internship at Deepgram focused on developing voice AI solutions and shipping real code. Collaborate with the engineering team on a scoped project with mentorship.

Posted 7/17/2026internshipRemote • 🇺🇸 United StatesEntry Level💰 $55 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates the ability to own and deliver projects end-to-end, utilizing AI for prototyping and debugging while effectively communicating progress and learnings. Capable of quickly ramping on new codebases and applying first principles reasoning to solve complex problems.

Highest-signal resume keywords

Project OwnershipAI IntegrationCode ProficiencyFirst Principles ReasoningEffective Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CodingDebuggingPrototypingTestingAutomation

Soft Skills

Feedback ReceptionProblem-SolvingClear Explanation

Industry Keywords

Speech MLAudio MLReal-Time Systems

About the role

Key responsibilities & impact

Own and ship one scoped project end-to-end over the internship — from design to reviewed, tested code running in [staging/production] — with mentor check-ins at each milestone.
Land merged pull requests that improve [a component or product pillar — e.g., the ASR pipeline, TTS latency, or the developer SDKs].
Make one measurable improvement that outlasts your term.
Use AI as a default part of how you build — [e.g., to prototype, test, or debug faster] — and share one workflow improvement back with the team.
Ramp on Deepgram's codebase and [your domain — e.g., speech/audio ML or real-time systems] deeply enough to debug and extend [system] with decreasing hand-holding by the end of the term.
Present your project and learnings to the team, and leave behind documentation so the next person builds on what you started.

Requirements

What you’ll need

You've built things because you wanted them to exist — projects, tools, scripts, or automations, whether in class, on your own, or in a prior role.
You reach for AI as a default part of how you learn and build, not an occasional add-on — and you can talk about where it helps and where human judgment still has to lead.
You reason from first principles: when something breaks, you dig into *why* rather than patching around it.
You write and read code in at least one language, and you pick up new languages, tools, and codebases quickly.
You can explain your work clearly — what you built, what broke, and what you'd do differently.
You treat "good enough" as a question, not a finish line, and you're drawn to hard problems.
You give and receive feedback well and want to get better fast.

Benefits

Comp & perks

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