Company Overview
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram
Opportunity:
We are seeking an experienced Infrastructure Engineer to design, implement, and maintain our large-scale distributed systems infrastructure. You'll be responsible for building and optimizing our network architecture, storage solutions, and compute platforms that power our AI/ML workloads. This role combines expertise in network engineering, storage systems, and modern container orchestration platforms, with a focus on reliability, scalability, and cost-effectiveness.
What You’ll Do
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Design and implement reliable, high-performance network architectures for distributed systems
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Architect and maintain large-scale storage solutions, including backup systems, distributed caching, and object storage
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Build and optimize cost-effective data center infrastructure
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Develop and maintain GPU compute clusters for AI inference workloads
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Manage large-scale deployments using modern orchestration platforms like Kubernetes and Slurm
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Implement monitoring, alerting, and automation solutions for infrastructure management
You’ll Love This Role If You
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Are passionate about building reliable, scalable infrastructure systems
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Enjoy optimizing complex distributed systems for performance and cost
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Love solving challenging problems in networking and storage at scale
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Are excited about working with cutting-edge GPU infrastructure
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Want to work at the intersection of infrastructure and AI/ML systems
It’s Important To Us That You Have
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5+ years of experience in infrastructure engineering or similar roles
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Strong background in network engineering and design for reliability
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Experience with large-scale storage systems (distributed file systems, caching solutions)
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Proven track record of managing data center infrastructure
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Expertise in container orchestration platforms (Kubernetes, Slurm)
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Experience with GPU infrastructure management and optimization
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Strong automation and scripting skills
It Would Be Great if You Had
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Experience with software-defined networking
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Knowledge of cost optimization for cloud and on-premise infrastructure
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Familiarity with AI/ML workloads and their infrastructure requirements
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Experience with multi-region infrastructure deployment
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Background in performance optimization for distributed systems
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Certification in relevant cloud platforms (AWS, GCP, Azure)
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million 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.
Compensation Range: $150K - $220K
#BI-Remote
Top Skills
What the Team is Saying
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What We Do
Our end-to-end deep neural network is revolutionizing the speech-to-text market and taking on the big guys. We’re redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We’ve raised over $56M and have been recognized as an Inc. Best Workplace (2021 and 2022), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others. Join us. We want to hear what you’ve got to say.
An NVIDIA partner and Y Combinator company.
Why Work With Us
Our culture, like our product, is constantly learning and evolving, but the heart of our team is enduring. We are a self-motivated, positive, passionate, and competitive group of people. At Deepgram, we put an emphasis on being ourselves, being curious, growing together, and being human. We are a unique bunch who celebrate our differences.
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Deepgram Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We currently have a hybrid business model with a nationally distributed workforce and two physical offices, one in Ann Arbor, MI and another in Burlingame, CA.
