Systems Architect – AI/ML Infrastructure

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $160.000 - $220.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

⚙️ Systemingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Deepgram

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2015

🤖 Künstliche Intelligenz

☁️ SaaS

🔌 API

💰 €47.000.000 Series B im 2022-11

Artificial Intelligence • SaaS • API

Deepgram ist ein führendes Voice-AI-Unternehmen, das leistungsstarke APIs für Speech-to-Text, Text-to-Speech und Language-Understanding-Anwendungen bereitstellt. Die Plattform ermöglicht es Entwicklerinnen und Entwicklern, anspruchsvolle Voice-AI-Lösungen für Use Cases wie Contact Center, medizinische Transkription, Conversational AI und mehr zu entwickeln. Bekannt für unübertroffene Genauigkeit, Geschwindigkeit und Kosteneffizienz genießt die Technologie von Deepgram das Vertrauen führender Unternehmen und Start-ups weltweit. Mit Echtzeit- und hochgenauer Transkription hilft Deepgram Unternehmen, Erkenntnisse aus Sprachdaten zu gewinnen – ein unverzichtbares Werkzeug, um Sprachinteraktionen zu transformieren.

Beschreibung

• Define and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research training • Design multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibility • Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure • Design storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model serving • Lead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demand • Drive cost optimization and FinOps practices, identifying opportunities to reduce infrastructure spend without compromising performance or reliability • Design burstable, elastic training infrastructure that can scale up for large training runs and scale down to minimize idle cost • Architect research compute infrastructure that gives ML teams the resources they need while maintaining operational efficiency • Establish architectural standards, design review processes, and technical documentation practices for infrastructure decisions • Collaborate with engineering leadership to align infrastructure strategy with product roadmap and business objectives • Evaluate emerging hardware, cloud services, and infrastructure technologies for potential adoption

🎯 Anforderungen

• 7+ years of experience in infrastructure engineering, systems architecture, or a senior technical role focused on large-scale infrastructure • Proven experience designing multi-cloud architectures spanning AWS and at least one other major cloud provider or on-premises environment • Deep expertise in storage system design -- block, object, and file storage, including performance tuning for large-scale data workloads • Strong experience with compute orchestration using Kubernetes, and an understanding of how to schedule diverse workloads efficiently • Hands-on experience with GPU infrastructure -- procurement considerations, cluster design, driver and runtime management • Track record of capacity planning and infrastructure scaling for high-growth environments • Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders • Strong understanding of networking fundamentals as they relate to infrastructure architecture

🏖️ Vorteile

• 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