Embedded Systems Engineer with Artificial Intelligence Expertise

Itron is revolutionizing how utilities and cities manage energy and water. We are committed to creating a more sustainable, resourceful world. Join us.

We are seeking a highly skilled Embedded Systems Engineer to join our team, with a focus on integrating artificial intelligence (AI) inference/training platforms and models into constrained hardware platforms. The ideal candidate will have a strong background in embedded systems, experience with various AI platforms and models, and a passion for applying AI to real-world commercial/industrial problems.

Job Duties & Responsibilities:

• Design, develop, and optimize embedded software systems that support AI models, ensuring efficient operation on resource-constrained hardware.
• Implement and manage AI model inference and training on embedded platforms, utilizing decentralized and distributed training methodologies.
• Develop and maintain a software stack that facilitates the execution of AI models, including support for both inference and training processes.
• Collaborate with cross-functional teams to integrate AI solutions, particularly focusing on time series data and image processing applications.
• Monitor and analyze equipment behavior using AI-driven approaches to detect anomalies in utility and metering systems.

Required Skills & Experience:

• Embedded Systems Expertise: 10+ years of experience in embedded software development, particularly with real-time systems on constrained hardware platforms.
• Familiarity with programming languages such as C, C++, and Python for embedded systems.
• AI and Machine Learning (ML) Proficiency: Experience with a range of AI models, including large language models and convolutional neural networks (CNNs). Knowledge of machine learning and data science principles, with practical experience in anomaly detection and time series analysis. Experience with scalable ML.
• Software Development for AI: Ability to develop and implement software solutions that support the execution of AI models in embedded environments. Background in working with tools and libraries for AI model optimization and deployment.
• Applied Machine Learning experience: regression and classification, supervised, and unsupervised learning
• Strong mathematical background: linear algebra, calculus, probability, and statistics

• Domain Knowledge: Experience in utility and metering applications, with a focus on AI-driven monitoring solutions. Understanding of challenges and best practices in deploying AI in edge computing scenarios.
• Bachelor's degree in electrical engineering, computer science, or a related field

Preferred Skills & Experience:

• Previous involvement in R&D projects related to AI and embedded systems.
• Familiarity with autoencoders and their application in both image processing and time series data.

#LI-LG1

San Jose, CA: The midpoint of the base salary range is $179,500. This role may be eligible for Itron's annual bonus program.

This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!

Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills and experience.

Itron is proud to be an Equal Opportunity, Affirmative Action Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com.

Itron enables utilities and cities to safely, securely and reliably deliver critical infrastructure solutions. We provide smart networks, software, services, meters, and sensors to better manage electricity, gas, water and city services. We are dedicated to creating a more resourceful world.