I

Itron

Measures and analyzes electricity, gas, water.

AI Manufacturing Engineer

Full-TimeUpdated on 10/23/2026
No salary listed
Mid
Bachelor's
Austin, TX, USA+2 moreMore locations: Raleigh, NC, USA | West Union, SC, USA
HybridHybrid work schedule; specific office/home attendance days are not stated.
AI & Machine LearningApplied Machine Learning, Computer Vision

About the job

Requirements
  • A bachelor's degree in Computer Science, Electrical Engineering, Industrial Engineering, Data Science, Manufacturing Engineering, or a related technical field is required.
  • Experience developing solutions using Python or similar programming languages is required.
  • Experience with MLOps, model deployment, monitoring, and lifecycle management is required.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, or equivalent technologies is required.
  • Experience with data analysis, statistics, predictive modeling, and advanced analytics techniques is required.
  • Experience with SQL databases, data processing tools, and large-scale datasets is required.
  • Understanding of manufacturing processes, industrial automation, quality systems, operational environments, or related production systems is required.
  • Experience in manufacturing engineering, industrial engineering, test engineering, quality engineering, operations engineering, or related disciplines is required.
  • Experience implementing AI agents and intelligent automation solutions for manufacturing and quality process improvements is required.
  • Experience developing dashboards, reporting tools, and data visualization solutions is required.
  • Strong problem-solving, analytical thinking, and root-cause investigation skills are required.
  • Ability to communicate complex technical concepts clearly and effectively to diverse audiences is required.
  • Ability to work collaboratively across multiple functions, teams, and geographic locations is required.
  • Strong project management, execution, and organizational skills are required.
  • Demonstrated ability to deliver customer-focused solutions that drive operational improvements and business results is required.
  • Commitment to continuous learning, innovation, accountability, and inclusive collaboration is required.
Responsibilities
  • Develop, train, validate, and deploy machine learning models for manufacturing applications.
  • Build predictive analytics solutions that improve product quality, throughput, equipment reliability, process optimization, and customer outcomes.
  • Design AI-based systems for anomaly detection, defect classification, root-cause analysis, and predictive maintenance.
  • Develop computer vision solutions for automated inspection, quality assurance, and manufacturing process verification.
  • Collaborate with manufacturing, quality, operations, and test engineering subject matter experts to identify high-value AI use cases and prioritize implementation opportunities.
  • Support Industry 4.0 initiatives by deploying AI-enabled manufacturing solutions that drive operational excellence and innovation.
  • Integrate AI applications with Manufacturing Execution Systems, Enterprise Resource Planning platforms, Product Lifecycle Management systems, manufacturing databases, test systems, and production equipment.
  • Create dashboards, monitoring tools, and decision-support systems that transform manufacturing data into actionable insights.
  • Implement digital twins and process simulation capabilities to improve manufacturing efficiency and decision-making.
  • Develop scalable data pipelines for structured and unstructured manufacturing data from production, quality, and operational systems.
  • Ensure model accuracy, reproducibility, data integrity, cybersecurity requirements, and regulatory compliance.
  • Establish and maintain best practices for AI governance, model monitoring, lifecycle management, and responsible AI deployment.
  • Partner with Manufacturing Engineering teams to improve production yields, cycle times, Overall Equipment Effectiveness, capacity utilization, and process stability.
  • Support New Product Introduction activities through data-driven manufacturing analytics and process optimization.
  • Collaborate with Test Engineering teams to improve automated test coverage, diagnostic capability, and test efficiency.
  • Participate in continuous improvement initiatives using AI-driven insights and data-informed decision-making.
  • Work cross-functionally with Operations, Quality, Product Development, Supply Chain, Information Technology, and other stakeholders to deliver business results.
  • Communicate technical findings, recommendations, and project outcomes to technical and non-technical audiences.
  • Provide guidance, training, and mentorship on AI technologies, advanced analytics, and data-driven decision-making practices.
  • Stay current on emerging AI technologies, manufacturing innovations, industry trends, and best practices.
  • Demonstrate accountability for project execution, deliverables, and measurable business impact while contributing to a culture of agility, collaboration, authenticity, and innovation.
Desired Qualifications
  • Experience with computer vision, industrial image processing, and automated inspection technologies.
  • Experience with cloud platforms such as Microsoft Azure and cloud-based AI services.
  • Knowledge of Industrial Internet of Things, Manufacturing Execution Systems, Supervisory Control and Data Acquisition, programmable logic controllers, industrial control systems, and manufacturing data platforms.
  • Experience deploying AI and machine learning solutions in production manufacturing environments.
  • Familiarity with Statistical Process Control, Six Sigma, Lean Manufacturing, Kaizen, or continuous improvement methodologies.
  • Knowledge of electronics manufacturing, utility products, smart metering technologies, test systems, industrial equipment, or energy-focused manufacturing operations.
  • Experience working with digital twin technologies, simulation tools, or advanced manufacturing analytics platforms.
  • Familiarity with data governance, responsible AI practices, cybersecurity principles, and regulatory compliance requirements.
  • Experience supporting smart factory, connected factory, or Industry 4.0 transformation initiatives.
  • An advanced degree in a relevant engineering, computer science, data science, or analytics discipline is preferred.

About the company

Itron creates technology for measuring and analyzing electricity, gas, and water usage. Its early work started with a handheld device for meter reading, then moved to Automatic Meter Reading (AMR) that sends data wirelessly to a collection system, reducing the need for visual inspections. Today, Itron supplies hardware, software, and services that help utilities monitor, manage, and optimize energy and water use across many countries. Unlike some peers that focus mainly on hardware, Itron positions itself as a provider of intelligent infrastructure and IoT-enabled solutions through acquisitions like Silver Spring Networks, which expanded its software and connectivity capabilities. The company aims to help utilities run more efficient grids, support smart cities, and deliver data-driven insights to customers.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Liberty Lake, Washington

Founded

1977

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 backlog held at $4.4 billion, with bookings at $550 million.
  • Annual recurring revenue rose 21% in Q2 2026, validating Outcomes expansion.
  • September 2026 Crytica and Netmore deals strengthen cybersecurity and low-cost water-meter deployments.

What critics are saying

  • Q2 2026 Networked Solutions revenue fell 17%; project timing still drives volatility.
  • $1.6 billion debt and $2.3x net leverage constrain acquisitions, buybacks, and downturns.
  • Siemens, Landis+Gyr, and software-cloud rivals attack meters, analytics, and utility workflows.

What makes Itron unique

  • Itron’s September 2026 Riva IEC launch extends grid-edge intelligence across APAC utilities.
  • Its September 2026 IEE Cloud AI combines MDM, IEOS, and AI workflows.
  • Itron shipped its 3 millionth Cyble 5 module on September 21, 2026.

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Benefits

  • Paid Vacation
  • 401(k) Company Match
  • Stock Options
  • Hybrid Work Options
  • Wellness Program

Growth & Insights and Company News

6 month growth

3%

1 year growth

3%

2 year growth

3%
Yahoo Finance
Oct 20th, 2026
Itron's utility deals and wildfire tools test its $4.4B backlog story

Itron is working with utilities including Duquesne Light, PG&E, AT&T and SmartMark Communications to extend grid edge intelligence, cellular connectivity and customer engagement across electricity, gas and water networks. Utilities are applying its technology to outage management, wildfire risk detection and behind-the-meter visibility, not just billing. The key test is whether Itron's $4.4 billion backlog converts to deployments on schedule. Revenue fell 3% in 2025 from 2024, and further delays in large, approval-heavy projects could pressure margins near 40%. The SmartMark collaboration links grid edge intelligence with customer engagement. It could lift the share of software and services, where Itron reports stronger margins. The company's narrative projects $2.7 billion in revenue and $339.3 million in earnings by 2029, up from $274.0 million today, implying 6.1% yearly revenue growth.

Les Echos
Oct 14th, 2026
This Mâcon factory is boosting its production of smart water meters.

This Mâcon factory is boosting its production of smart water meters. Based in Saône-et-Loire, the American group Itron has automated the assembly of its production and plans to hire 50 people by the end of 2027. Published on Oct. 14, 2026 at 2:04 p.m. Considered the "center of excellence of the Itron group in water metering," the Mâcon plant (Saône-et-Loire) is accelerating its robotization to increase its production capacity. In early August, the American company installed a new automated cell for assembling its smart water meters, "to increase the annual assembly capacity for this product by 35%," announces Jean-Philippe Fieldes, head of the Mâcon plant. Equipped with an industrial robot, this cell handles "the handling of components, screwdriving operations, leak testing and product packaging," specifies the American group, which intends "to gradually continue the automation of this production line," beyond assembly. This investment is intended to meet a rise in demand for smart water meters. "We must produce enough of them to serve our customer base," emphasizes the director. While this range remains in the minority for now, with a volume of 350,000 meters leaving the factory in 2025 in Mâcon, it is set to grow. "We are aiming for production of 500,000 in 2026, with rapid growth in the coming years," specifies the director. This content is reserved for registered users. Want to read the rest? It's free!

Associated Press
Oct 13th, 2026
Itron and PG&E deploy 3,000 grid sensors to cut wildfire risk, scaling to 10,000 by 2027

Itron and Pacific Gas and Electric Company (PG&E) are moving to a scaled pilot of grid edge sensors to cut wildfire risk in California. The sensors detect, classify and locate faults on the distribution grid in real time, before they cause outages or ignitions. First installations are underway in the Santa Cruz area. The first phase will deploy about 3,000 devices in high fire-risk communities, with about 10,000 planned through 2027. PG&E plans to scale to hundreds of thousands of devices by 2030. The project builds on an earlier proof of concept. It is partly funded through PG&E's electric R&D budget under the Electric Program Investment Charge. "We are addressing risks before they become outages or wildfire threats," said Don Reeves, senior vice president of Outcomes at Itron.

GlobeNewswire
Oct 13th, 2026
Itron and PG&E advance strategic collaboration to address wildfire mitigation with Grid Edge Intelligence.

Itron and PG&E advance strategic collaboration to address wildfire mitigation with Grid Edge Intelligence. Expanded deployment of Itron Grid Edge Intelligence delivers unprecedented fault classification to reduce wildfire risk and improve reliability. October 13, 2026 09:24 ET | Source: Itron, Inc. * Itron and PG&E are advancing grid edge intelligence to help reduce wildfire risk and improve grid reliability in California communities. * Grid edge intelligence provides real-time visibility to detect, classify and pinpoint potential faults across the distribution grid. * Actionable insights support earlier intervention, faster crew response, and fewer and shorter outages. LIBERTY LAKE, Wash. and OAKLAND, Calif., Oct. 13, 2026 (GLOBE NEWSWIRE) - Itron, Inc. (NASDAQ: ITRI), the intelligent infrastructure provider for modern energy and water management, and Pacific Gas and Electric Company (PG&E) have made significant progress advancing their strategic collaboration to transform the energy landscape by protecting California communities from wildfire risk using Itron's Grid Edge Intelligence (GEI) solutions. As part of their collaboration, Itron and PG&E are validating advanced fault prevention and fault location technologies at scale to improve identification, location and classification of grid conditions that can directly lead to wildfire ignition conditions and other critical safety concerns. The companies are building on an initial proof-of-concept and advancing to a scaled pilot by deploying thousands of Itron grid edge sensing endpoints to high fire-risk areas in PG&E's service territory. Unlike traditional approaches that infer grid conditions by manually correlating customer calls, alarms and other evidence across multiple systems, this purpose-built solution uses measured observations, real-time event detection and confidence levels to drive faster, more focused action. Using distributed intelligence and advanced grid waveform technology, Itron's grid edge devices detect, classify and pinpoint fault indicators across medium-voltage circuits and low-voltage segments between the transformer and the customer's home. The technology can identify potential issues before an outage, enabling PG&E to take preventive action and provide targeted alerts during high-risk events, such as a downed live conductor that could ignite vegetation. "Through our work together with Itron, PG&E will enhance real-time visibility and continual monitoring of the grid that helps take the guesswork out of identifying potential issues impacting our equipment," said Craig Kurtz, senior director of Continuous Monitoring at PG&E. "Continually 'listening' to the data signals originating from our grid enables us to proactively detect, locate and understand problems earlier so we can act before they lead to outages or potential ignitions. Together, we are improving grid safety, customer affordability and service reliability for our California communities, which is of the utmost importance to PG&E." "Itron and PG&E have a long history of working together, and with this strategic collaboration, we are showcasing how utilities can leverage their existing infrastructure with grid edge intelligence to improve grid management and enhance the customer experience," said Don Reeves, senior vice president of Outcomes at Itron. "With this most recent project, we are addressing risks before they become outages or wildfire threats. By reducing the frequency and duration of outages, GEI can help improve SAIFI and SAIDI performance, strengthen customer satisfaction and support more reliable and affordable service for PG&E customers." By integrating waveform capture, peer-to-peer endpoint communications and edge analytics, Itron's GEI portfolio can: * Narrow fault location: Pinpoints fault location with high precision across both medium voltage and low voltage circuits. * Classify fault type: Distinguishes between insulation degradation, equipment overload, failing conductors and other fault conditions. * Enable proactive intervention: Flags and prioritizes emerging risks before they become active hazards, allowing crews to respond before a wildfire or outage occurs. * Eliminate false positives: Intelligent classification optimizes field crew dispatch and response efficiency. This combination of detection and classification is particularly critical in California's High Fire Threat Districts, where aging infrastructure and dry, windy conditions can turn an undetected arc or spark into a catastrophic wildfire within minutes. "These fault indicators provide critical real-time inputs to drive faster crew dispatch upon detection, along with directed location information that reduces patrol time for crews. This results in faster preemptive responses that prevent outages, faster outage resolution, and a reduction in conditions that could lead to broader, more expansive outages and wildfires," added Reeves. Scaling Grid Edge Innovation The first installations of Itron's grid edge devices are underway in the Santa Cruz area with plans to deploy approximately 3,000 devices to high fire-risk communities in the first phase and approximately 10,000 devices planned through 2027. As part of the broader strategic collaboration to transform the energy landscape, PG&E plans to scale to hundreds of thousands of devices by 2030. This collaboration is partially funded through PG&E's electric R&D budget under the public purpose program Electric Program Investment Charge (EPIC). EPIC enables California investor-owned utilities to demonstrate new technologies and evaluate how they support safety, reliability and affordability, environmental sustainability and equity objectives for the benefit of all California electric customers. For more information about PG&E's R&D and innovation efforts, visit www.pge.com/innovation. About Itron Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live and thrive. Join us as we create a more resourceful world: www.itron.com. Itron(R) and the Itron Logo are registered trademarks of Itron, Inc in the United States and other countries and regions. All third-party trademarks are property of their respective owners and any usage herein does not suggest or imply any relationship between Itron and the third party unless expressly stated. About PG&E Pacific Gas and Electric Company, a subsidiary of PG&E Corporation (NYSE: PCG), is a combined natural gas and electric utility serving more than sixteen million people across 70,000 square miles in Northern and Central California. For more information, visit pge.com and pge.com/news. For additional information, contact: Itron, Inc. Alison Mallahan Senior Manager, Corporate Communications 509-891-3802 [email protected] Paul Vincent Vice President, Investor Relations 512-560-1172 [email protected] Itron, Inc.

Yahoo Finance
Oct 12th, 2026
Itron links gas and water modules to AT&T's LTE-M network for utilities

Itron and AT&T are integrating Itron's 500G Cellular Gas Module and 500W Cellular Water Module with AT&T's nationwide LTE-M network. The move gives gas and water utilities another way to collect meter data remotely and securely, announced October 12, 2026. Utilities can gather consumption, event and alarm data over cellular without deploying and maintaining extra communications infrastructure. Itron says this helps streamline operations, reduce truck rolls and improve visibility into gas and water systems, including faster leak detection. Earlier this year, Itron extended its UtilityIQ head-end software to support both modules, letting utilities manage cellular and mesh networks together. "We're giving utilities greater flexibility to choose the communications approach that best supports their operational objectives," said John Marcolini, senior vice president of Networked Solutions at Itron.