Sr Software Engineer, Video Intelligence

Sr Video Intelligence Engineer – This role focuses on advancing video understanding through video-language modeling, summarization, temporal reasoning, event detection, and multimodal embeddings to enhance camera intelligence and customer trust.

• 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.

• 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.

Base salary range: $150,000 to $180,000. Compensation may include additional incentives and benefits such as medical, vision, dental, 401(k), and flexible spending accounts.

Position requires in‑office presence in Seattle, WA on a hybrid schedule (Monday–Thursday on site, Friday remote). The position will start remote and then transition to the hybrid schedule.

NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law, employees are subject to periodic random drug testing and reasonable‑suspicion testing. EOE AA M/F/Protected Veteran Status/Disability. Level, title and/or salary may be adjusted based on applicant experience or skills.

EEO is the Law Poster (The poster can be found at http://(Use the "Apply for this Job" box below).).

Official description on file with Talent.