Backend Engineer- Inference Services
About the role
Backend Software Engineer role on the Engine team focused on designing and implementing secure, robust, and scalable services for speech processing, with emphasis on inference services, distributed compute orchestration, and optimized scheduling.
Responsibilities
- Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
- Develop processes for measuring, building, and optimizing services to maximize system performance
- Debug complex system issues that include networking, scheduling, and high performance computing interactions
- Rapidly customize backend services to support our customer needs
- Partner with Product to design and implement new services, features, and/or products end to end
Qualifications
- 3+ years of experience in an industry role
- Programming experience in Rust (or C, C++), with competence in Python
- Excellent communication and organizational skills, both written and verbal
- A high level of experience and understanding of version control; preferably git
- Comprehensive experience with UNIX-style systems
Skills
Benefits
- Offers Equity
- Offers Bonus
- 10% Annual Bonus
About Deepgram
Building foundational AI for speech transcription and understanding.
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
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