NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf ) Official description on file with Talent.
Senior Software Engineer, Audio Intelligence
Location
United States
Posted
5 days ago
Salary
$150K - $180K / year
Seniority
Senior
Job Description
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.
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