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Senior Software Engineer (Audio & DSP) - Drive Through AI

0 years

0 Lacs

india

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

software drive ai flow processing stack algorithms signal architecture prototyping development design latency research recognition evaluation engineering ml prototype troubleshooting analytics code debugging scalability security

Work Mode

On-site

Job Type

Full Time

Job Description

Checkmate is the leading platform that connects restaurant POS systems with online ordering channels, automating workflows and enabling seamless order flow. We are now expanding into voice-driven ordering experiences through our Drive Through AI (DTAI) product line, which brings advanced AI and speech technologies to drive-thru lanes and phone ordering systems.As a Senior Software Engineer (Audio & DSP), you will play a critical role in shaping the real-time speech processing stack for DTAI. This includes developing algorithms and systems that can perform reliably in noisy, multi-speaker, real-world environments. You will work at the intersection of digital signal processing, conversational AI, and restaurant operations, directly influencing technical architecture, prototyping, and product direction. Your contributions will impact how millions of customers interact with AI-powered voice systems in fast-paced restaurant environments.

Requirements

Algorithm Development & Optimization:

  • Design, implement, and optimize real-time DSP algorithms for speech enhancement, noise reduction, echo cancellation, and beamforming
  • Improve multi-speaker handling with techniques such as VAD, source separation, and speaker diarization
  • Contribute to low-latency, multi-channel audio pipelines that can scale across thousands of drive-thru and phone channels

AI & Speech Integration:

  • Work closely with ASR/LLM research and product teams to integrate DSP with automatic speech 1 recognition and conversational AI models
  • Collaborate on evaluation frameworks for speech quality, recognition accuracy, and latency—leveraging Langfuse-based observability

Engineering & Product Collaboration:

  • Partner with cross-functional teams (AI/ML, infrastructure, product, hardware) to make core architectural decisions
  • Prototype and evaluate new solutions—both software-based and hardware-assisted (microphones, speakers, sensors)
  • Contribute to DTAI troubleshooting analytics by instrumenting DSP pipelines with rich observability hooks

Code & Process Quality:

  • Write clean, maintainable, and testable code
  • Actively participate in code reviews, debugging sessions, and system optimization
  • Drive engineering best practices in scalability, security, and future-proofing

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