DeepgramDE

Platform Engineer – AI/ML Infrastructure

Powering insight-driven decisions and growth with world-leading speech recognition for businesses.

Deepgram

Employee count: 51-200

Salary: 160k-220k USD

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're looking for an expert (Senior/Staff-level) Platform Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers, empowering our teams to train and deploy complex models at scale. This role is focused on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads using schedulers like Slurm.

What You’ll Do

  • Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.

  • Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.

  • Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.

  • Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.

  • Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments.

  • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.

  • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.

  • Automate the life cycle of single-tenant, managed deployments

You’ll Love This Role If You

  • Are passionate about building platforms that empower developers and researchers.

  • Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.

  • Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.

  • Are excited to work at the intersection of modern platform engineering and cutting-edge AI.

  • Love to treat infrastructure as a product, continuously improving the developer experience.

It’s Important To Us That You Have

  • 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).

  • Proven, hands-on experience building and managing production infrastructure with Terraform.

  • Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.

  • Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.

  • Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.

  • Strong scripting and automation skills (e.g., Python, Go, Bash).

It Would Be Great if You Had

  • Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.

  • Familiarity with FinOps principles and cloud cost optimization strategies.

  • Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.

  • Experience in a multi-region or hybrid cloud environment.

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.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 160k-220k USD

Location requirements

Open to candidates from all countries.

Hiring timezones

Worldwide

About Deepgram

Learn more about Deepgram and their company culture.

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Powering insight-driven decisions and growth with world-leading speech recognition for businesses.

In 2015, influenced by their backgrounds in particle physics, founders Dr. Scott Stephenson and Noah Shutty used Applied AI techniques to search and find specific moments buried within large amounts of recorded audio. After building a speech analysis platform unlike anything currently available in commercial markets, they set out to build the speech company for the future.

Since being backed by YCombinator — an incubator that’s invested in companies like Airbnb, Dropbox, and Stripe — Deepgram, with its team of PhDs, engineers, and world-class AI scientists, released the world’s first deep learning based speech recognition in Fall 2017. Deepgram has since developed Dedicated Speech Models to bring companies unparalleled gains in accuracy and speech understanding capabilities in addition to being backed by NVIDIA and signing key enterprise customers.

Employee benefits

Learn about the employee benefits and perks provided at Deepgram.

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Healthy meals and snacks

Enjoy healthy meals and lunch on us in offices.

Healthcare benefits

Medical, dental, and vision insurance for employees and dependents.

Unlimited time off

Take as much time off as you want as long as it doesn't interfere with your ability to do your work.

Work from home ergonomic stipend

Since you work remotely, we want to make sure your home office is comfortable. You can expense to furnish your home office, every three years.

View Deepgram's employee benefits
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Deepgram

Company size

51-200 employees

Founded in

2015

View company profile

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Deepgram hiring Platform Engineer – AI/ML Infrastructure • Remote (Work from Home) | Himalayas