Staff Data Scientist, Embedded AI

  • Lehi, UT
  • Posted 21 days ago | Updated 2 days ago

Overview

On Site
Full Time

Skills

Data
Energy
IDEA
Facebook
LinkedIn
Leadership
Embedded software
Quality assurance
User experience
Continuous improvement
Collaboration
Machine Learning (ML)
Artificial intelligence
Computer science
Computer engineering
Data Science
Mathematics
Electrical engineering
Analytical skill
Problem solving
Distributed computing
Design
Rust
C++
Python
Linux
Cloud computing
Google Cloud
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Git
Computer vision
OpenCV
DevOps
Continuous integration
Continuous delivery
GitLab
Version control
Orchestration
Docker
Kubernetes
Database
SQL
NoSQL
Time series
Multimedia
GStreamer
FFmpeg
Embedded systems
IoT
Signal processing
Computer hardware
Sensors
Fusion
Algorithms
Communication
MQTT
Wireless communication
Bluetooth
Cyber security
Privacy
High availability
JIRA
Confluence
Filing
SAFE
Training
Reporting
Operations
Management
Workday

Job Details

Job Description

Welcome to the intersection of energy and home services. At NRG, we're driven by the idea of a smarter, cleaner, more connected future-and the possibilities that will bring to the world and to the 7.3 million customers we serve.

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. More information is available at or . Connect with NRG and Vivint on Facebook, Instagram, LinkedIn and X.

About This Role

As a software engineer on the 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. Your key responsibilities will encompass:

  • 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.
  • Guide and elevate the team by staying at the forefront of industry developments, exchanging knowledge, driving engineering quality, and cultivating a culture of continuous improvement and collaboration.
  • Architect the application of advanced machine learning models and other AI features in both edge and cloud environments, with special consideration for efficiency and performance.
  • Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discovering iterative improvements.


Required Qualifications:

  • Bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Mathematics,
  • Electrical Engineering or related field and 3-5 years of relevant experience
  • Ability to translate business problems into technical solutions
  • Strong analytical and problem-solving skills
  • Distributed system design
  • Rust, C++, Python, ShellEmbedded Linux
  • Cloud: Google Cloud Platform, AWS, Azure
  • Git


Preferred Qualifications:

  • Computer Vision Applications: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose,
  • Vector Embeddings, Re-ID, OpenCV
  • DevOps: CI/CD, Gitlab Pipelines, version control
  • Containerization and orchestration: Docker, Kubernetes
  • Databases: SQL, NoSQL, Vector, Time Series, Graph
  • Transformers, LLMs, Knowledge Graphs
  • Multimedia pipelines: GStreamer, ffmpeg, mediapipe
  • Embedded Systems and IoT Devices
  • Image, Audio, Radar, Signal Processing
  • Hardware Acceleration
  • Sensor fusion algorithms
  • Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
  • Cybersecurity and privacy standards
  • Experience working with secure, scalable, high-availability, low latency, and distributed solutions
  • JIRA and Confluence proficiency


Here are some highlighted perks you should ask us about:
  • Free daily lunch and drinks on site
  • Paid holidays and flexible paid time away
  • Employee/Friends/Family Discounts
  • Onsite health clinic, gym, gaming tables
  • Medical/dental/vision/life coverage & 24/7 Medical Hotline
  • 401(k) + Employer Match
  • Employee Resource Groups


WORKING CONDITIONS:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

SAFETY:

We enforce a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.

If you are an active Vivint employee, please apply through Workday by searching "Find Jobs".

If you are an active Vivint employee, please apply through Workday by searching \"Find Jobs\".
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.