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.
We are seeking a Software Engineer to join Deepgram for Restaurants- a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.
We’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:
Ultra-robust ASR in noisy, multi-mic environments
High-accuracy, menu-aware drive-thru and phone ordering agents
Real-time analytics and operational intelligence
Deeper, more reliable in-restaurant hardware integration
We are already partnering with several leading brands and will continue expanding these efforts
Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform
Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices
Monitor and optimize the performance of our backend systems in production environments
Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms
Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system
Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus
Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges
Run experiments to validate the product impact of new functionality
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments
Proven track record of building and deploying scalable, high-performance backend systems
Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design
Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
Strong communication skills and the ability to work collaboratively with a team
Willingness to problem solve across our entire product
Ability to proactively recognize problems and identify solutions to those problems
Results oriented and care about the impact of your work
Experience working with audio
Experience taking a backend system from zero to one
Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems
Experience with Python, Kotlin, or Java
Experience with containerization tools, such as Docker and Kubernetes
Experience working in or alongside AI / ML
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
Deepgram Automatic Speech Recognition helps you build voice applications with better, faster, more economical transcription at scale.
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