Sr. Software Engineer, Embedded AI

NRG BLUEWATER WIND
Salt Lake City, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Salt Lake City, United States of America

Tech stack

A/B testing
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Confluence
JIRA
Azure
Bluetooth
C++
Cloud Computing
Collaborative Software
Communications Protocols
Databases
Computer Engineering
Continuous Integration
Software Debugging
DevOps
Linux on Embedded Systems
Embedded Software
FFmpeg
Firmware
Python
Knowledge-Based Systems
Machine Learning
Message Queuing Telemetry Transport (MQTT)
OpenCV
Performance Tuning
Real-Time Operating Systems
Sensor Fusion
Signal Processing
Management of Software Versions
WebRTC
Rust
Wi-Fi Technology
Google Cloud Platform
Real Time Systems
Large Language Models
Gitlab
Containerization
Kubernetes
Information Technology
Slack
Performance Monitor
gRPC
Docker

Job description

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.

Requirements

  • 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

About the company

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.

Apply for this position