Sr Software Engineer, Video Intelligence
Vivint · Washington, United States
- On site
- Full-time
- $180,000 / year
- Washington, United States
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Job highlights
- Advance video understanding with LLMs.
- Improve AI Video Search and summarization.
- Develop systems for video insights generation.
- Partner with teams to move models to production.
- Guide cloud, edge, and hybrid inference architecture.
About the role
About Vivint
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 & 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.EEO Statement
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
Senior Software Engineer Video Intelligence
- Video-Language Models (VLM)
- Temporal Video Reasoning
- Event Understanding
- Multimodal Embeddings
- AI Video Search
- Video Summarization
- Production Deployment
- Python Software Engineering
- Machine Learning Operations (MLOps)
- Generative AI
Skills & topics
- Software Engineer
- Video Intelligence
- AI
- Machine Learning
- LLM
- Python
- Computer Vision
- Smart Home
- Security
- Production Deployment
How to get hired
- Tailor your resume: Highlight experience with LLMs, vision-language models, and Python software engineering, aligning with Vivint's focus on AI and smart home tech.
- Showcase production experience: Emphasize your ability to deploy AI services using Git and CI/CD workflows, demonstrating your readiness for a production environment.
- Prepare for technical interviews: Be ready to discuss your approach to temporal video reasoning, event detection, and multimodal embeddings, as these are core to the role.
- Understand Vivint's mission: Research Vivint's smart home solutions and their commitment to innovation and customer trust to articulate your fit during the interview.
- Connect with recruiters: Engage with Vivint recruiters on LinkedIn and inquire about specific team needs for the Senior Video Intelligence Engineer role.
Technical preparation
Practice VLM, multimodal AI, and generative AI concepts.,Build Python projects for video processing and analysis.,Implement CI/CD pipelines for ML model deployment.,Study temporal video reasoning and event detection techniques.
Behavioral questions
Describe a complex AI system you deployed.,How do you handle trade-offs in model evaluation?,Share an experience collaborating with product teams.,How do you stay updated on AI advancements?
Frequently asked questions
- What is the salary range for a Sr Video Intelligence Engineer at Vivint?
- The base salary range for this Sr Video Intelligence Engineer position at Vivint is $150,000 to $180,000 annually. This range is a component of the total compensation, which may also include bonuses, incentives, and other rewards. Actual salary will depend on factors like location, experience, and performance.
- What specific AI technologies are most important for this Sr Video Intelligence Engineer role at Vivint?
- For this Sr Video Intelligence Engineer role at Vivint, key technologies include LLMs, vision-language models, multimodal AI, and generative AI systems. Experience with temporal video reasoning, event detection, and multimodal embeddings is also crucial for advancing camera intelligence.
- Does Vivint offer relocation assistance for this Senior Software Engineer role?
- While the job description doesn't explicitly state relocation assistance, Vivint is a growing company. It's recommended to inquire about relocation support during the interview process, especially if you are applying from out of the area.
- What kind of projects will a Sr Video Intelligence Engineer work on at Vivint?
- A Sr Video Intelligence Engineer at Vivint will focus on enhancing video understanding. This includes developing video-language capabilities, improving AI video search and summarization, building systems for generating insights from video, and guiding the architecture for cloud, edge, and hybrid inference.
- What are the required educational qualifications for the Sr Video Intelligence Engineer position at Vivint?
- A Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field with 5+ years of relevant experience is required. Alternatively, a Master's degree in a similar field with 2+ years of experience is also accepted.
- How does Vivint approach the deployment of AI services for its video intelligence systems?
- Vivint emphasizes deploying AI services into production using standard industry workflows like Git and CI/CD. They also guide architecture decisions for cloud, edge, and hybrid inference paths to ensure robust and scalable video intelligence solutions.
- What is the company culture like at Vivint for engineers?
- Vivint fosters a culture of innovation and collaboration, seeking passionate and innovative engineers. They aim to empower customers through groundbreaking smart home solutions and provide a dynamic work environment that supports employee development and a strong sense of belonging.