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Company OverviewDeepgram 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 RhythmAt 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 OpportunityDeepgram's infrastructure spans bare metal GPU clusters, multi-cloud deployments, and global edge presence -- all serving real-time voice AI at massive scale while simultaneously powering large-scale model training. As a Systems Architect, you will own the end-to-end infrastructure architecture that makes this possible. You will design the compute, storage, and networking systems that serve both production inference and research training workloads, build multi-cloud strategies that balance performance with cost, and create burstable infrastructure that scales with Deepgram's rapidly growing demands. This is a senior technical leadership role where your architectural decisions shape the foundation everything at Deepgram runs on.What You'll DoDefine and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research trainingDesign multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibilityArchitect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructureDesign storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model servingLead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demandDrive cost optimization and FinOps practices, identifying opportunities to reduce infrastructure spend without compromising performance or reliabilityDesign burstable, elastic training infrastructure that can scale up for large training runs and scale down to minimize idle costArchitect research compute infrastructure that gives ML teams the resources they need while maintaining operational efficiencyEstablish architectural standards, design review processes, and technical documentation practices for infrastructure decisionsCollaborate with engineering leadership to align infrastructure strategy with product roadmap and business objectivesEvaluate emerging hardware, cloud services, and infrastructure technologies for potential adoptionYou'll Love This Role If YouThink in systems -- you naturally see the connections between compute, storage, network, and how they interact under loadAre motivated by designing infrastructure that operates at the intersection of real-time production systems and large-scale ML trainingEnjoy making architectural trade-offs where cost, performance, reliability, and velocity are all in tensionWant to work across the full infrastructure stack -- from bare metal and GPUs to cloud services and container orchestrationAre excited about building cost-effective, burstable infrastructure that enables world-class AI researchLike operating at a strategic level while staying technically deep enough to validate designs and debug complex issuesIt's Important To Us That You Have7+ years of experience in infrastructure engineering, systems architecture, or a senior technical role focused on large-scale infrastructureProven experience designing multi-cloud architectures spanning AWS and at least one other major cloud provider or on-premises environmentDeep expertise in storage system design -- block, object, and file storage, including performance tuning for large-scale data workloadsStrong experience with compute orchestration using Kubernetes, and an understanding of how to schedule diverse workloads efficientlyHands-on experience with GPU infrastructure -- procurement considerations, cluster design, driver and runtime managementTrack record of capacity planning and infrastructure scaling for high-growth environmentsAbility to communicate complex architectural decisions clearly to both technical and non-technical stakeholdersStrong understanding of networking fundamentals as they relate to infrastructure architecture (see our Network Engineer role for the deep specialist)It Would Be Great If You HadDirect experience architecting infrastructure for ML training workloads -- distributed training, large dataset management, experiment infrastructureBackground in cost optimization and FinOps practices for large-scale cloud and bare metal infrastructureExperience operating and managing bare metal infrastructure in colocation facilitiesExpertise in network architecture design, including high-bandwidth GPU interconnects and global traffic routingExperience with infrastructure modeling and simulation for capacity planningFamiliarity with Slurm, Ray, or other HPC/ML job scheduling systemsUnderstanding of power, cooling, and physical infrastructure considerations for GPU-dense deploymentsBenefits & Perks*Holistic healthMedical, dental, vision benefitsAnnual wellness stipendMental health supportLife, STD, LTD Income Insurance PlansWork/life blendUnlimited PTOGenerous paid parental leaveFlexible schedule12 Paid US company holidaysQuarterly personal productivity stipendOne-time stipend for home office upgrades401(k) plan with company matchTax Savings ProgramsContinuous learningLearning / Education stipendParticipation in talks and conferencesEmployee Resource GroupsAI enablement workshops / sessions*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.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.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.
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