Senior Systems Engineer – AI/ML Infrastructure

Deepgram, a pioneering voice AI platform, is seeking a Senior Systems Engineer to lead their AI/ML Infrastructure initiatives. With over $85 million in funding from prestigious investors including Y Combinator, Tiger Global, and NVIDIA, Deepgram has established itself as a leader in voice technology, processing over 50,000 years of audio and transcribing over 1 trillion words.

The role combines sophisticated infrastructure engineering with cutting-edge AI technology. As a Senior Systems Engineer, you'll be responsible for designing and maintaining large-scale distributed systems that power Deepgram's AI/ML workloads. This includes building bare-metal GPU compute clusters, implementing robust monitoring solutions, and managing deployments using modern orchestration platforms like Kubernetes and Slurm.

The ideal candidate brings 5+ years of infrastructure engineering experience, with deep expertise in network engineering, storage systems, and container orchestration. You'll be working at the intersection of infrastructure and AI/ML systems, optimizing complex distributed systems for both performance and cost-effectiveness. The role offers the opportunity to work with cutting-edge GPU infrastructure and solve challenging problems in networking and storage at scale.

Deepgram offers a competitive compensation package including a base salary range of $150K-$220K, equity, and an annual bonus of 10%. The company maintains a strong commitment to equality and diversity, welcoming all voices and perspectives. As a remote position, this role provides the flexibility to work from anywhere while contributing to groundbreaking advancements in voice AI technology.

Join a team that has demonstrated impressive growth with 3.3x annual usage increase over the past 4 years and achieve cash-flow positivity. This is an excellent opportunity for someone passionate about infrastructure systems and eager to make a significant impact in the AI industry.