✦ Luna Orbit — AI & Machine Learning

Sr. Software Engineer, Embedded AI

at NRG Energy

📍 UT, US, 84043 Unknown Posted March 17, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 5+ years
Education Bachelor's or Master's in Computer Engineering, Computer Science, Electrical Engineering, or similar
Category AI & Machine Learning

About this role

This role involves developing and deploying advanced AI applications on embedded devices within smart home ecosystems, focusing on multi-modal sensor data integration, model optimization, and hardware performance benchmarking.

Key Responsibilities

  • Build multi-modal AI pipelines
  • Optimize AI models for hardware
  • Collaborate on system integration
  • Develop tools for model evaluation
  • Drive performance benchmarking

Technical Overview

The technical environment includes embedded Linux, C++, Python, AI/ML model deployment frameworks like TensorRT, ONNX, TFLite, and signal processing tools such as OpenCV and MediaPipe, with cloud-edge coordination and security protocols.

Ideal Candidate

The ideal candidate is a senior embedded AI/ML engineer with 5+ years experience in developing AI applications on embedded devices, proficient in C++, Python, and hardware benchmarking, with expertise in sensor fusion and model optimization for constrained environments.

Must-Have Skills

Embedded LinuxC++PythonAI/ML model deploymentSensor fusionHardware benchmarking

Nice-to-Have Skills

Computer VisionObject DetectionTrackingPose EstimationVector EmbeddingsModel OptimizationMedia & Signal ProcessingMQTTgRPCSecurity & Privacy

Tools & Platforms

TensorRTONNXTFLiteDockerKubernetesGStreamerOpenCVMediaPipe

Required Skills

C++RustPythonembedded LinuxTensorRTONNXTFLitesensor fusionmodel deploymentGStreamerOpenCVMediaPipeMQTTgRPCBluetoothWi-FiWebRTCDockerKubernetes

Hard Skills

C++RustPythonEmbedded LinuxTensorRTONNXTFLiteModel DeploymentAI/MLSensor FusionGStreamerOpenCVMediaPipeMQTTgRPCBluetoothWi-FiWebRTCCI/CDDockerKubernetesSecurity Protocols

Soft Skills

LeadershipCross-functional CollaborationProblem-solvingTechnical MentoringPerformance Tuning

Industry & Role

Industry Energy / Smart Home Technology
Job Function Embedded AI/ML development for smart home devices
Role Subtype Embedded AI Engineer
Tech Domains C++, Python, TensorRT, ONNX, TFLite, GStreamer, OpenCV, MediaPipe, Kubernetes, Docker

Keywords for Your Resume

Embedded AIAI/MLC++PythonTensorRTONNXTFLiteSensor FusionModel DeploymentEdge AIHardware BenchmarkingMediaPipeOpenCVGStreamerKubernetesDockerSecurityIoTSmart HomeML Model Optimizationembedded aic++pythonai mlsensor fusionmodel deploymentedge aihardware benchmarkingkubernetesdocker

Deal Breakers

Lack of experience with embedded Linux, No proficiency in C++ or Python, No experience with AI model deployment, Unfamiliarity with sensor fusion or hardware benchmarking

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