Network Engineer, Real-Time Infrastructure

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.

When a developer calls Deepgram's API to transcribe a phone call in real time or generate speech for a voice agent, every millisecond of network latency matters. As a Network Engineer at Deepgram, you will own the global network infrastructure that makes real-time voice AI possible at scale. You will optimize traffic routing across our hybrid cloud and bare metal footprint, design edge strategies that bring compute closer to users, and ensure that Deepgram's platform delivers the ultra-low-latency experience our customers depend on. This role fills a critical skill gap on our infrastructure team and gives you the opportunity to shape network strategy from the ground up.

• Architect and optimize Deepgram's global network for real-time audio streaming, minimizing latency across geographic regions

• Design and manage CDN and edge computing strategies to bring processing closer to end users

• Configure and maintain BGP routing, including peering relationships and route optimization for multi-cloud and bare metal environments

• Implement and tune load balancing solutions that intelligently distribute traffic across heterogeneous infrastructure (cloud, bare metal, GPU clusters)

• Build and optimize multi-cloud networking architectures spanning AWS, other cloud providers, and on-premises data centers

• Design and maintain bare metal networking including top-of-rack switching, spine-leaf architectures, and high-bandwidth GPU interconnects

• Develop latency measurement, monitoring, and optimization tooling to continuously improve network performance

• Plan and execute network capacity expansions as Deepgram's traffic and infrastructure footprint grow

• Collaborate with infrastructure and platform teams to ensure network designs support both real-time inference and large-scale training workloads

• Establish network security best practices including segmentation, DDoS mitigation, and access control policies
  

• Are passionate about squeezing every millisecond of latency out of a network path

• Want to design global network infrastructure for a platform that processes real-time audio at massive scale

• Enjoy the challenge of networking across hybrid environments -- cloud, bare metal, and edge

• Like working on problems where network performance directly impacts product quality and customer experience

• Want to build network strategy and architecture from the ground up, not just maintain what already exists

• Are excited about the unique networking challenges that come with GPU clusters and AI/ML workloads
  

• 5+ years of experience in network engineering, including design, implementation, and operations

• Deep expertise with BGP, OSPF, and other dynamic routing protocols in production environments

• Hands-on experience designing and operating load balancing solutions at scale

• Strong understanding of CDN architectures and content delivery optimization

• Experience with cloud networking, specifically AWS VPC design, transit gateways, peering, and hybrid connectivity

• Practical experience with bare metal networking -- switch configuration, VLAN design, physical infrastructure

• Solid understanding of TCP/IP, DNS, TLS, and HTTP/2 / HTTP/3 performance optimization

• Experience with network monitoring, troubleshooting, and performance analysis tools
  

• Experience with real-time streaming protocols (WebSocket, WebRTC, RTP/RTSP) and optimizing networks for media traffic

• Knowledge of GPU cluster networking including InfiniBand, RoCE (RDMA over Converged Ethernet), and high-bandwidth interconnects

• Experience with multi-cloud networking spanning AWS, GCP, and/or Azure

• Familiarity with network automation and Infrastructure as Code (Ansible, Terraform, or similar)

• Experience with anycast routing and global traffic management

• Background in network performance optimization for latency-sensitive applications

• Understanding of DDoS mitigation strategies and network security at scale