Sr. Software Engineer, Embedded AI

Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

About This Role

We are seeking a Staff Software Engineer, AI/ML to lead the development of advanced AI applications running on embedded devices and cloud infrastructure across our smart home ecosystem. This role bridges cutting-edge AI/ML models with fully integrated smart home security devices. As a technical leader, you'll drive efforts across on-device AI, multi-modal sensor fusion, and cloud-edge coordination, working closely with cross-functional teams.

• Build multi-modal pipelines and features that integrate vision, audio, radar, text, and other inputs for high-accuracy AI customer experiences.

• Optimize and deploy AI model applications for constrained environments, including benchmarking on hardware.

• Collaborate cross-functionally with cloud, mobile, QA, product, UX, and hardware teams to ship AI-powered experiences at scale.

• Serve as a technical mentor and system owner, influencing team strategy, reviews, and roadmap prioritization.

• Develop tools and frameworks to support model evaluation, A/B testing, and automated performance monitoring across both cloud and edge environments.

Required Qualifications

• Bachelor's or Master's in Computer Engineering, Computer Science, Electrical Engineering, or similar

• 5+ years of hands-on experience in embedded software and/or applied machine learning in production

• Proven ability to design and deploy real-time systems on embedded Linux (or RTOS)

• Highly Proficient in C++, Rust, and Python in production environments

• Experience with AI model lifecycle: training, conversion (ONNX, TensorRT, TFLite), quantization, and pruning

• Knowledge of cloud platforms (GCP, AWS, Azure) and edge-cloud coordination

• Solid understanding of system-level design, debugging, and performance tuning

Preferred Qualifications

• Computer Vision & ML: Classification, Detection, Tracking, Recognition, LLM/VLM integration, Pose Estimation, Vector Embeddings

• Multi-modal ML and Sensor Fusion: visual, audio, radar, and text data

• Model Optimization: Post-training quantization, pruning, distillation, benchmarking on NPUs/DSPs/ASICs

• Media & Signal Processing: GStreamer, FFmpeg, MediaPipe, OpenCV

• Communication Protocols: MQTT, gRPC, Bluetooth, Wi-Fi, WebRTC

• DevOps: CI/CD (GitLab), versioning, monitoring

• Containerization: Docker, Kubernetes

• Security & Privacy: Secure boot, data encryption, firmware signing

• Databases: Vector DBs, Time-Series, Graph-based Knowledge Systems

• Collaboration Tools: JIRA, Confluence, Slack, Teams

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.