Infrastructure Engineer

Deepgram, the leading voice AI platform, is revolutionizing speech-to-text, text-to-speech, and speech-to-speech technology. With over 400 enterprise customers and processing more than 50,000 years of audio, we're at the forefront of voice AI innovation. We're seeking an Infrastructure Engineer to join our team and help scale our distributed systems infrastructure.

The role combines expertise in network engineering, storage systems, and modern container orchestration platforms. You'll be responsible for designing and implementing high-performance network architectures, managing large-scale storage solutions, and optimizing GPU compute clusters for AI workloads. This is a unique opportunity to work at the intersection of infrastructure and AI/ML systems.

As our Infrastructure Engineer, you'll build and maintain the foundation that powers our AI/ML workloads, focusing on reliability, scalability, and cost-effectiveness. You'll work with cutting-edge technologies like Kubernetes and Slurm, while managing GPU infrastructure for AI inference workloads.

The ideal candidate brings 5+ years of infrastructure engineering experience, with strong expertise in network engineering, storage systems, and container orchestration. You should be passionate about building reliable, scalable infrastructure systems and enjoy optimizing complex distributed systems for performance and cost.

Backed by prominent investors including Y Combinator, Tiger Global, and NVIDIA, with over $85 million in funding, Deepgram offers an exciting opportunity to make a significant impact in the AI industry. We're committed to fostering an inclusive environment where all voices and perspectives are valued.