Sr Software Engineer, Video Intelligence at Vivint

Job description

Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company. We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society. More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X. Vivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes. About This Role We are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust. In this role, you will be responsible to: • Own VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings. • Improve AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction. • Build and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video. • Partner with AI, platform, product, and app teams to move models from research to production. • Develop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness. • Guide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence. Required 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 LLMs, vision-language models, multimodal AI, or generative AI systems • Strong Python software engineering skills • Experience processing, analyzing, or serving video content at scale • Familiarity with event detection, summarization, semantic understanding, embeddings, or model evaluation • Experience deploying AI services into production with Git and CI/CD workflows Preferred Qualifications: • Experience generating natural-language descriptions, summaries, or searchable representations from video • Experience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval • Experience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI • Experience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures • Experience with Docker, Kubernetes, GCP/AWS, or production model monitoring The base salary range for this position is: $190,000 to $207,000* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition 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. Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule. 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 eeoc.gov) Official description on file with Talent.

Requirements

Must-haves

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.
Own VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings.
Improve AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction.
Build and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video.
Partner with AI, platform, product, and app teams to move models from research to production.
Develop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness.
Guide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence.
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 LLMs, vision-language models, multimodal AI, or generative AI systems
Strong Python software engineering skills
Experience processing, analyzing, or serving video content at scale
Familiarity with event detection, summarization, semantic understanding, embeddings, or model evaluation
Experience deploying AI services into production with Git and CI/CD workflows

Nice-to-haves

Experience generating natural-language descriptions, summaries, or searchable representations from video
Experience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval
Experience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI
Experience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures
Experience with Docker, Kubernetes, GCP/AWS, or production model monitoring
Official description on file with Talent.

Application prep

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Keywords to mirror

aimlpythonci/cddockerkubernetesgcpaws

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k