Sr Software Engineer, Audio Intelligence

NRG is hiring 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 and deploys and monitors production services.

Tags

Electronics

Internet of Things

Security

Smart Home

Insider Connection @Vivint

2 email credits available today

Beyond your network

Ally Kiekhaefer & 4 connections

From your previous company

Amod Uprety & 1 connections

Previously@Siemens and...

from your School

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

Preferred

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

Benefits

Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards.

The position may be eligible to participate in the benefits program, which includes medical, vision, dental, 401K, and flexible spending accounts.

The position will start remote and then will move into the hybrid schedule: in-office in Seattle, WA on Monday, Tuesday, Wednesday, and Thursday, with a work-from-home day on Friday.

Glassdoor

3.8

Smart home security and automation systems with professional monitoring.

Lehi, Utah, USA

http://www.vivint.com

Distribution of Different Job Fields Receiving Sponsorship

67

Represents job field similar to this job

Engineering and Development

Management and Executive

Product Management

Accounting and Finance

Customer Service and Support

Sales

Trends of Total Sponsorships

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(10)

2024

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2023

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2022

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2021

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Public Company

Qualifications

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

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

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

Required skills

AI Evaluation, Audio Understanding, CI/CD, Conversational AI, Git, LLM Integration, Multimodal AI, Prompt Engineering, Python, Real-Time Audio Inference, Speech-to-Text (STT), Text-to-Speech (TTS)

Experience

2+ years