Software Engineering- Internship (Fall 2026/Summer 2027) at Deepgram
CA
$114,400–$135,200
Jul 16, 2026
CA
Jul 21, 2026
What this job asks for AI summary
A software engineering internship focused on voice AI infrastructure, including speech recognition, text-to-speech, and LLM integration. Interns are expected to own a scoped project from design through merged, production-ready code, with mentorship at each stage. The role suits candidates who build things independently, learn quickly, and already incorporate AI tools into their day-to-day development workflow. Hiring is for Fall 2026 and Summer 2027 cohorts.
Junior level · Remote · Internship
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 372,000 people nationally plausibly meet what this posting asks for (software developers). range 223,500–558,000
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This is an internship posting hiring for Fall 2026 and Summer 2027 cohorts — not an immediate opening.
The role is deliberately broad: interns may work on the core voice AI platform, the Applied AI (Deepgram for Restaurants) wing, or the consumer wing, so the SOC is Medium-confidence. A speech/ML-heavy placement would lean toward Data Scientists (15-2051); a platform/backend placement would stay Software Developers (15-1252).
No specific programming language is hard-required; the JD asks only that the candidate 'write and read code in at least one language.' Python and its alternatives above are illustrative of what would be relevant given the stack, not stated gates.
A degree is listed only as preferred ('currently pursuing a degree… or building equivalent skills through self-study'), so the degree requirement is set to None.
AI tool fluency (agentic tooling, AI-assisted workflows) is the one firmly stated capability gate in the Minimum Skills section — everything else is framed as preferred or as general aptitude.
Claude Code and Codex are called out by name as example agentic tools under the Key Goals section; listed as preferred since they appear in the goals/context narrative rather than a hard-requirements block.
No compensation figures are provided.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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