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.
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.
Opportunity
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
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
You’ll Love This Role If You
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
It’s Important To Us That You Have
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.
It Would Be Great if You Had
Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
Experience with audio processing
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Job details are sourced from the employer's original posting.
Open job postingAbout the company
Deepgram is a foundational AI company on a mission to transform human-machine interaction using natural language. We give any developer access to the fastest, most powerful voice AI models including speech-to-text, text-to-speech, and spoken language understanding with just an API call. From transcription to sentiment analysis to voice synthesis, Deepgram is the preferred partner for builders of voice AI applications. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🗣️ Lightning-fast text-to-speech with various unique, natural-sounding voices 🌎 Accurately transcribe audio in over 30 languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG's managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.