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Deepgram

Software Engineering- Internship

More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by ... You write and read code in at least one language, and you pick up new languages, tools, and ...

New

Ambarella

$18 - $23.50/hr

We are looking for talented engineers who possess a strong interest in VLSI design, programming and ... We expect that interns will be able to pick up missing skills quickly, deliver their assignments on ...

Ambarella

We are looking for talented software programmers who possess a strong interest in computer ... We expect that interns will be able to pick up missing skills quickly, deliver their assignments on ...

Collabera

Manufacturing Engineer

Weirton, WV · On-site

$65 - $73/hr

Troubleshoot manufacturing issues across automated assembly equipment including robotic pick-and ... strong internships/co-op experience may be considered if launch experience is demonstrated)

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How much do internship pick programmer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for internship pick programmer in the United States is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Internship Pick Programmer vs Software Developer?

AspectInternship Pick ProgrammerSoftware Developer
Required CredentialsTypically pursuing or recently completed a relevant degree; some internships may not require extensive experienceUsually holds a bachelor's degree in computer science or related field; may have certifications
Work EnvironmentTemporary, learning-focused, often part-time or summer roles in tech companies or startupsFull-time, ongoing roles in various industries, including tech firms, corporations, and startups
Employer & Industry UsageCommonly used in tech companies, startups, and educational institutions for training purposesWidespread across industries, including finance, healthcare, and technology, for product development

The main difference is that Internship Pick Programmers are typically students or recent graduates gaining initial experience, while Software Developers are full-time professionals responsible for designing and building software solutions. Internships serve as a stepping stone into the software development field, which is a more permanent and advanced role.

What cities are hiring for Internship Pick Programmer jobs? Cities with the most Internship Pick Programmer job openings:
What are the most commonly searched types of Pick Programmer jobs? The most popular types of Pick Programmer jobs are:
Internship Pick Programmer jobs near you
Software Engineering- Internship

Software Engineering- Internship

Deepgram

Remote

Full-time

Posted 2 days ago

New

Job description

Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
Team Overview
You'd join the engineering team, which builds the voice-native foundation models and the platform that delivers them at production scale: real-time ASR, next-generation TTS, and LLM connectivity. As an intern, you won't be sidelined on throwaway work - you'll own a real, scoped project with a dedicated mentor, ship code that customers or teammates actually use, and get a close-up view of how research, engineering, and customers form one feedback loop.
Key Goals:
  • 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.

Minimum Skills, Knowledge & Capabilities:
  • 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.

Preferred Qualifications:
  • Currently pursuing a degree in computer science, engineering, or a related field - or building equivalent skills through self-study, open source, or your own projects.
  • Coursework or hands-on exposure to [a relevant area - e.g., machine learning, distributed systems, audio/speech processing, or backend/web development].
  • Have built or contributed to a project involving [AI/ML, real-time systems, or APIs] - hackathons, coursework, and personal projects all count.
  • A prior internship or a project where you shipped something real, or an AI-assisted workflow you built for yourself.

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