Sr Software Engineer, Audio Intelligence

NRG•Seattle, WA

4d•$190,000 - $207,000•Hybrid

About The Position

NRG is seeking a Senior Audio Intelligence Engineer to build conversational and audio AI experiences for the smart home. The role develops real-time speech, audio understanding, and multimodal interaction systems across mobile devices, panels, cameras, and future agentic experiences. It is responsible for designing and building conversational and audio AI experiences using speech-to-text, text-to-speech, large language models, audio understanding, and multimodal context; optimizing latency, reliability, privacy, grounding, and user experience for real-time interactions; building evaluation frameworks for conversational quality, task completion, audio understanding, customer satisfaction, and safety; integrating audio intelligence with agentic tool use, memory, personalization, and smart-home context; evaluating and benchmarking emerging speech, audio, and multimodal AI technologies; and deploying and monitoring production audio and conversational AI services at scale. The position requires in-office presence in Seattle, Washington, on a hybrid schedule: Monday through Thursday in the office and Friday working from home. It will begin remotely before moving to the hybrid schedule. The stated base salary range is $190,000 to $207,000. Actual compensation may vary based on factors such as location, experience, and performance. Other compensation may include annual bonuses, short- and long-term incentives, and program-specific awards. The position may also be eligible for benefits including medical, vision, dental, 401(k), and flexible spending accounts.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field and 5 or more years of professional experience in software development, applied science, or ML engineering; or a master’s degree in one of these fields and 2 or more years of such experience.
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 speech-to-text, text-to-speech, 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.