Description:

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.
The company has over 200,000 developers using its voice-native foundational models, which are accessed through APIs or as self-managed software.
Deepgram is known for its unmatched accuracy, latency, and pricing, serving software companies, co-sell partners, and enterprises.
The company ended 2024 cash-flow positive with over 400 enterprise customers and has seen 3.3x annual usage growth over the past four years.
The Senior Systems Engineer – AI/ML Infrastructure will design, implement, and maintain large-scale distributed systems infrastructure.
Responsibilities include building and optimizing network architecture, storage solutions, and compute platforms for AI/ML workloads.
The role requires expertise in network engineering, storage systems, and modern container orchestration platforms, focusing on reliability, scalability, and cost-effectiveness.

Requirements:

Candidates must have 5+ years of experience in infrastructure engineering or similar roles.
A strong background in network engineering and design for reliability is essential.
Experience with large-scale storage systems, including distributed file systems and caching solutions, is required.
A proven track record of managing bare-metal infrastructure is necessary.
Expertise in container orchestration platforms such as Kubernetes and Slurm is needed.
Candidates should have experience with GPU infrastructure management and optimization.
Strong automation and scripting skills are required for this position.

Deepgram offers the opportunity to work on cutting-edge technology in the AI industry.
The company is backed by prominent investors, providing a stable and innovative work environment.
Deepgram promotes a collaborative culture focused on customer-first values and rapid growth.
The company is committed to equal opportunity employment and values diverse voices and perspectives in the workforce.
Accommodations are available for applicants who need them, ensuring an inclusive hiring process.