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Network Engineer, Real-Time Infrastructure

Deepgram -
Remote

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Job Details

Full-time
$160,000 - $220,000 a year

Qualifications

Network topology design
Performance monitoring
Telecommunications network device configuration
Load balancers
Telecommunications network performance monitoring
Load balancing
System performance optimization
Traffic engineering
VLAN
AWS
IT monitoring tools
Video compression
BGP
Design engineering
Open Shortest Path First (OSPF) implementation
Cloud load balancing
Network routing
Network monitoring tools
Virtual Private Clouds
Production troubleshooting

Full Job Description

Location

USA | Remote

Employment Type

Full time

Location Type

Remote

Department

Engineering

Compensation

$160K – $220K • Offers Equity • Offers Bonus

This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits.

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.

The Opportunity

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.

What You'll Do

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

You'll Love This Role If You

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

It's Important To Us That You Have

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

It Would Be Great if You Had

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

Compensation Range: $160K - $220K

Apply Now

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