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Iot Testing Jobs in Georgia (NOW HIRING)

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA

$99K - $136K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$100K - $138K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$101K - $138K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Smyrna, GA

$102K - $140K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Mableton, GA

$95K - $130K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA

$102K - $140K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Vinnings, GA

$97K - $134K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Doraville, GA

$102K - $140K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Brookhaven, GA

$102K - $141K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA

$100K - $138K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Dunwoody, GA

$103K - $142K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

... high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM ... Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API ...

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Iot Testing information

What are some common challenges faced by IoT testers in their day-to-day work?

IoT Testers often deal with the complexity of testing a wide variety of interconnected devices that operate on different platforms and communication protocols. They may face challenges like simulating real-world environments, ensuring security across multiple endpoints, and replicating intermittent or unpredictable connectivity issues. Collaboration with hardware engineers, firmware developers, and software teams is frequent to quickly resolve integration or compatibility problems. Successfully troubleshooting these issues requires adaptability and a thorough understanding of both hardware and software, making the role both dynamic and rewarding for professionals who enjoy investigative work.

What is IoT testing?

An IoT Testing job involves evaluating the functionality, security, performance, and compatibility of Internet of Things (IoT) devices and systems. Testers ensure that IoT devices communicate correctly, handle data securely, and perform well under various conditions. This role includes testing hardware-software interactions, network protocols, security vulnerabilities, and real-time responsiveness. IoT testers use automated and manual testing approaches to identify defects and enhance overall product reliability.

Is IoT testing a high paying job?

IoT testing professionals often earn competitive salaries due to the specialized skills required, such as knowledge of embedded systems, networking, and automation tools. Salaries can vary based on experience, location, and certifications, but generally, IoT testing roles are considered well-paying within the software testing field.

What are the key skills and qualifications needed to thrive in the IoT testing position, and why are they important?

To thrive in IoT Testing, you need a strong understanding of networking protocols, embedded systems, software testing methodologies, and IoT architectures, usually supported by a degree in computer science, electronics, or related fields. Familiarity with tools such as Wireshark, MQTT simulators, automation frameworks like Selenium or Appium, and relevant certifications (e.g., ISTQB, IoT security) is highly valued. Strong analytical skills, attention to detail, effective communication, and a proactive approach to problem-solving will help you excel in this position. These skills are essential for thoroughly validating IoT devices and systems, identifying issues early, and ensuring reliable, secure, and efficient product performance.

Is IoT testing a good career path?

IoT testing is a growing field that involves verifying the functionality, security, and performance of connected devices and systems. It requires skills in networking, embedded systems, and automation tools, making it a promising career for those interested in emerging technologies and quality assurance. The demand for IoT testers is expected to increase as IoT adoption expands across industries.
What are the most commonly searched types of Iot Testing jobs in Georgia? The most popular types of Iot Testing jobs in Georgia are:
What are popular job titles related to Iot Testing jobs in Georgia? For Iot Testing jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Iot Testing jobs in Georgia look for? The top searched job categories for Iot Testing jobs in Georgia are:
Iot Testing jobs near you
Infographic showing various Iot Testing job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Sr Advanced AI Platform Engineer

Honeywell

Marietta, GA

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 537 rated manufacturers

Job description

Job Description
We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio.
As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts.
You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems.
This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a hybrid basis.
  • Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.

KEY RESPONSIBILITIES
AI/ML Platform Engineering
  • Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference
  • Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
  • Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices.
  • Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems.
  • Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.
  • Design and implement automated data processing pipelines within FastAPI to handle real-time sensor or image inputs for the model.
  • Bridge the gap between research and deployment by converting code from experimental into modular, maintainable Python packages.

Edge AI & Inference
  • Ability to integrate and run pre-built AI models on local hardware using standard industry runtimes.
  • Skilled at building the software logic required to process data inputs and handle model outputs efficiently.
  • Expert at developing Python-based services and automating their deployment to devices via standardized pipelines.
  • Capable of monitoring and optimizing software to run reliably within strict memory and hardware limitations.
  • Experience deploying containerized models from Azure to edge devices using Azure IoT Edge or managed online endpoints

Data & Knowledge Engineering
  • Experience building pipelines to structure, clean, and store data for model training or real-time retrieval (RAG) on edge devices
  • Ability to convert experimental data processing logic from notebooks into production-ready Python modules.
  • Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is available for continuous model improvement.

Production Operations & Reliability
  • Own platform reliability for AI services serving multiple business units.
  • Implement observability, monitoring, and alerting for ML pipelines and inference services.
  • Drive cost optimization across data platform workloads, cloud compute, and storage infrastructure.
  • Proficient in using Azure Machine Learning Studio to manage the full lifecycle of models, including registration, versioning, and monitoring.

Qualifications
YOU MUST HAVE
  • 8 plus years of experience in software engineering, data engineering, or ML platform engineering.
  • Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
  • Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
  • Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.
  • Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools.
  • Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with knowledge graphs, ontology engineering, or semantic web technologies.

WE VALUE
  • Bachelor's / Advanced degree in Computer Science, Artificial Intelligence, or related field.
  • Background in building management systems, HVAC, energy management, or industrial IoT domains.
  • Strong leadership and management skills.
  • Experience working in an agile development environment.
  • Proven ability to drive successful cloud development projects and initiatives.
  • Ability to work in a fast-paced and dynamic environment.
  • Attention to detail and excellent problem-solving capability.

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 5/21/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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