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# Sr Software Engineer, AI Engineer

- **Company:** NRG BLUEWATER WIND
- **Location:** Lehi, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Bash Shell, Big Data, Bluetooth, C++ (Programming Language), Communications Protocols, Computer Programming, Databases, Computer Engineering, Information Engineering, Data Structures, Data Visualization, DevOps, Linux on Embedded Systems, FFmpeg, Graph Database, Python (Programming Language), Machine Learning, Message Queuing Telemetry Transport (MQTT), NoSQL, Object Detection, OpenCV, Tensorflow, Sensor Fusion, Signal Processing, SQL Databases, WebRTC, Rust (Programming Language), Wi-Fi Technology, Data Processing, Google Cloud, Pytorch, Large Language Models, Deep Learning, Gitlab, Git, Information Technology, Low Latency, Atlassian Tools, Data Management, Machine Learning Operations, Multiaccess Edge Computing, Grpc
- **Published:** August 31, 2026
- **Apply:** https://careers.nrgenergy.com/talentcommunity/apply/1425043500/?locale=en_US

## About the Role

* Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills AI/ML Experience:
 * Computer vision
 * Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
 * Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git, * Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
 * ML frameworks: TensorFlow, PyTorch
 * Data Engineering:
 * FiftyOne, CVAT, Vertex AI, Label Studio
 * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
 * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
 * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
 * Databases: SQL, NoSQL, Vector, Time Series, Graph
 * Transformers, LLMs, Knowledge Graphs
 * Multimedia pipelines: GStreamer, ffmpeg, mediapipe
 * Edge computing, Embedded Systems, and IoT Devices
 * Model compression techniques
 * Image, Audio, Radar, Signal Processing
 * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
 * Experience working with secure, scalable, high-availability, low latency, and distributed solutions
 * JIRA and Confluence proficiency

## Description

As an AI Engineer on the Camera AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications., * Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.

 * Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
 * Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
 * Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
 * Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.


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