Staff Data Scientist, Embedded AI - Vivint
Lehi, UT
About the Job
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 www.nrg.com or www.vivint.com (https://urldefense.com/v3/__http:/www.vivint.com__;!!BJC6uDBu-zY!NC1I2-GrhnIfpMmknOyEsrTNlK1jc4_6nNZM-nqSUzWJf_uAxK7opz5sf8nU7187pUMbDNykdv7gh7l4WJ1H3HsnFbE$) . 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: GCP, 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".
Vivint, an equal opportunity employer, does not consider any protected traits (e.g., race, creed, color, religion, gender, national origin, non-job-related disability, age, or any other protected trait) when hiring—under federal, state, and local laws. We are a drug-free environment. We do not conduct pre-employment drug screening; however, we do conduct random drug testing on site.
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 www.nrg.com or www.vivint.com (https://urldefense.com/v3/__http:/www.vivint.com__;!!BJC6uDBu-zY!NC1I2-GrhnIfpMmknOyEsrTNlK1jc4_6nNZM-nqSUzWJf_uAxK7opz5sf8nU7187pUMbDNykdv7gh7l4WJ1H3HsnFbE$) . 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: GCP, 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".
Vivint, an equal opportunity employer, does not consider any protected traits (e.g., race, creed, color, religion, gender, national origin, non-job-related disability, age, or any other protected trait) when hiring—under federal, state, and local laws. We are a drug-free environment. We do not conduct pre-employment drug screening; however, we do conduct random drug testing on site.
Source : Vivint
