[Hiring] Senior Software Engineer, Audio Intelligence @NRG

Role Description

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. In this role, you will be responsible to:

• 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.

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.

Requirements

• 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

• The base salary range for this position is: $150K to $180K.
• Actual salaries will vary based on several factors including but not limited to location, experience, and performance.
• 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 include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.