Sr Software Engineer, Video Intelligence
NRG Energy · Washington, United States
- On site
- Full-time
- $170,000 / year
- Washington, United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Advance video understanding with AI.
- Build video-language and event-reasoning capabilities.
- Improve AI search, summarization, and alerts.
- Develop production-ready AI systems.
- Guide cloud, edge, and hybrid inference architectures.
About the role
About NRG Energy
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
Compensation and Benefits
The base salary range for this position is: $150K to $180K* *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. 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.Key skills/competency
- Video Intelligence Engineering
- Large Language Models (LLMs)
- Computer Vision
- Multimodal AI
- Python Software Engineering
- ML Engineering
- Generative AI
- Model Deployment
- Video Processing
- AI/ML Research
Skills & topics
- Software Engineer
- Video Intelligence
- AI
- Machine Learning
- LLM
- Python
- Computer Vision
- Multimodal AI
- Generative AI
- Cloud Engineering
- Edge Computing
- Production Deployment
How to get hired
- Tailor your resume: Highlight your experience with LLMs, vision-language models, and Python software engineering. Quantify achievements in video processing and AI deployment.
- Showcase production experience: Emphasize your skills in deploying AI services using Git and CI/CD workflows. Mention experience with cloud platforms like GCP/AWS.
- Demonstrate AI/ML expertise: Detail your familiarity with event detection, summarization, semantic understanding, and model evaluation. Include any experience with multimodal foundation models.
- Prepare for technical interviews: Be ready to discuss your approach to building and evaluating AI systems, including production evaluation methods for precision, recall, and latency.
Technical preparation
Practice Python coding challenges.,Study LLM and vision-language model concepts.,Review video processing and analysis techniques.,Understand AI model deployment best practices.
Behavioral questions
Describe a complex AI project you led.,How do you handle production issues?,Explain your collaboration with other teams.,How do you stay updated on AI trends?
Frequently asked questions
- What are the key responsibilities for the Sr Software Engineer, Video Intelligence role at NRG Energy?
- The Sr Software Engineer, Video Intelligence at NRG Energy will be responsible for owning the VLM strategy, improving AI video search and summarization, building systems for natural-language descriptions from video, partnering with cross-functional teams to move models to production, developing production evaluation methods, and guiding architecture decisions for video intelligence inference.
- What qualifications are required for the Sr Software Engineer, Video Intelligence position at NRG Energy?
- Required qualifications include a Bachelor's degree in a technical field with 5+ years of experience or a Master's degree with 2+ years of experience. Essential skills include experience with LLMs, vision-language models, multimodal AI, generative AI systems, strong Python software engineering, processing video content at scale, familiarity with event detection/summarization/embeddings/model evaluation, and experience deploying AI services with Git and CI/CD.
- What type of AI systems will I be working with as a Sr Software Engineer, Video Intelligence at NRG Energy?
- As a Sr Software Engineer, Video Intelligence at NRG Energy, you will work with systems focused on video understanding, including video-language models, temporal video reasoning, event understanding, multimodal embeddings, AI video search, video summarization, and generating natural-language descriptions and insights from video content.
- What are the preferred qualifications for the Sr Software Engineer, Video Intelligence role at NRG Energy?
- Preferred qualifications include experience generating natural-language descriptions from video, working with multimodal foundation models, temporal video understanding, re-identification, vector retrieval, improving AI performance metrics (precision/recall, false alerts), and experience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures, as well as Docker, Kubernetes, GCP/AWS, or model monitoring.
- What is the salary range for the Sr Software Engineer, Video Intelligence position at NRG Energy?
- The base salary range for this Sr Software Engineer, Video Intelligence position at NRG Energy is $150,000 to $180,000 annually. This is one component of the total compensation package, which may also include bonuses, incentives, and benefits.
- Does NRG Energy offer benefits for the Sr Software Engineer, Video Intelligence role?