Sr Software Engineer, Audio Intelligence

NRGVIRTUAL, WA
$150,000 - $180,000

About The Position

We are seeking a Sr Audio Intelligence Engineer to build conversational and audio AI experiences for the smart home. This role will develop real-time speech, audio understanding, and multimodal interaction systems across mobile, panel, camera, and future agentic experiences.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
  • Experience with speech-to-text, text-to-speech, audio understanding, or conversational AI systems
  • Strong Python software engineering skills
  • Experience integrating LLMs or multimodal models into production applications
  • Familiarity with prompt engineering, evaluation, conversation design, latency optimization, and cloud AI services
  • Experience with Git, CI/CD, production monitoring, and cross-functional product collaboration

Nice To Haves

  • Experience with wake word, streaming audio, real-time inference, ASR/NLU frameworks, or ambient sound classification
  • Experience building consumer-facing voice, assistant, smart-home, or conversational products
  • Familiarity with edge AI, embedded devices, IoT, Linux-based systems, or hybrid edge/cloud architectures
  • Experience with privacy-aware audio systems, grounding, safety, and customer-trust mechanisms
  • Experience with Docker, Kubernetes, GCP/AWS, or scalable AI service deployment

Responsibilities

  • Design and build conversational and audio AI experiences using STT, TTS, LLMs, audio understanding, and multimodal context.
  • Optimize latency, reliability, privacy, grounding, and user experience for real-time interactions.
  • Build evaluation frameworks for conversational quality, task completion, audio understanding, customer satisfaction, and safety.
  • Integrate audio intelligence with agentic tool use, memory, personalization, and smart-home context.
  • Evaluate and benchmark emerging speech, audio, and multimodal AI technologies.
  • Deploy and monitor production audio and conversational AI services at scale.

Benefits

  • medical
  • vision
  • dental
  • 401K
  • flexible spending accounts
  • annual bonus
  • short- and long-term incentives
  • program-specific awards
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