Leading voice AI platform for developers building speech-to-text, text-to-speech and speech-to-speech offerings with 400+ enterprise customers.

Deepgram, a leading voice AI platform, is seeking a Senior Backend Software Engineer to spearhead the design and implementation of their products. The company has impressive credentials, having raised over $85M in funding from notable investors including Y Combinator, Tiger Global, and NVIDIA, and serves 400+ enterprise customers with over 50,000 years of audio processed.

The role focuses on building secure, robust, and scalable services for speech processing, with emphasis on distributed compute orchestration and optimized scheduling. You'll be working on improving core inference services, including crucial areas like networking, speech processing, and audio transcoding, while optimizing for latency and memory performance.

The ideal candidate should thrive in a fast-paced environment, be comfortable with learning new skills on-the-fly, and have strong experience in Rust (or C/C++) and Python. You'll be joining a company that's at the forefront of voice AI technology, processing over 1 trillion words transcribed and experiencing 3.3x annual usage growth across the past 4 years.

This position offers competitive compensation ($140K-$190K base salary), equity, and annual bonus opportunities. You'll be working with cutting-edge technology in speech-to-text (STT), text-to-speech (TTS), and speech-to-speech (STS) offerings, making a significant impact in the AI industry while collaborating with talented teams focused on customer success and rapid innovation.

Senior Backend Software Engineer role at Deepgram, building scalable voice AI services with competitive compensation and equity.

Senior Software Engineer - Backend

Deepgram, a leading voice AI platform, is seeking a Senior Backend Software Engineer to spearhead the design and implementation of their products. The company has impressive credentials, having raised over $85M in funding from notable investors including Y Combinator, Madrona, Tiger Global, Wing VC, and NVIDIA. With 400+ enterprise customers and processing over 50,000 years of audio, Deepgram is at the forefront of voice AI technology.

The role offers an exciting opportunity to work on cutting-edge speech processing technology, where you'll be responsible for designing and implementing secure, robust, and scalable services. You'll be working on core inference services, optimizing system performance, and solving complex technical challenges in areas like networking, speech processing, and audio transcoding.

This position is ideal for someone who thrives in a fast-paced environment and enjoys balancing quick solutions with thoughtful design work. You'll be a crucial voice in both Product and Engineering teams, driving high-impact products from conception to completion. The role offers competitive compensation ($140K-$190K base salary), equity, and annual bonus opportunities.

The ideal candidate should have several years of industry experience, strong programming skills in Rust (or C/C++) and Python, and comprehensive experience with UNIX-style systems. Experience with modern machine learning and audio processing would be advantageous. You'll be joining a company that values diversity, collaboration, and customer-first approach, with the opportunity to make a significant impact in the AI industry.

Senior Backend Software Engineer role at Deepgram, working on voice AI platform development with competitive compensation and equity.

Leading voice AI platform for developers building speech-to-text, text-to-speech and full speech-to-speech offerings with 400+ enterprise customers.

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.

Senior Systems Engineer role focused on building and maintaining AI/ML infrastructure at Deepgram, a leading voice AI platform.

Senior Systems Engineer – AI/ML Infrastructure

Deepgram, a leading voice AI platform, is seeking a Senior Backend Software Engineer to spearhead the design and implementation of their products. The company has processed over 50,000 years of audio and transcribed over 1 trillion words, serving 400+ enterprise customers with 3.3x annual usage growth across the past 4 years.

The role focuses on building secure, robust, and scalable services for speech processing, distributed compute orchestration, and optimized scheduling. You'll be working on improving core inference services, debugging complex system issues, and partnering with Product teams to deliver high-impact solutions.

The ideal candidate should thrive in a fast-paced environment, be comfortable with learning new skills on-the-fly, and have strong experience in Rust/C/C++ programming with Python competency. You'll be working with cutting-edge AI technology, particularly in speech processing and machine learning.

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, with over $85 million in funding, Deepgram offers an opportunity to make a significant impact in the AI industry. The company values diversity, collaboration, and customer-first approach, making it an ideal place for those passionate about innovation in voice AI technology.

Senior Backend Engineer role at Deepgram, building scalable speech processing services using Rust and Python, with competitive compensation and equity.

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.

Senior Infrastructure Engineer role at Deepgram, focusing on designing and maintaining large-scale distributed systems infrastructure for AI/ML workloads.

Deepgram Engineering Jobs

Leading voice AI platform for developers building speech-to-text, text-to-speech and speech-to-speech offerings with 400+ enterprise customers.