Senior Research Engineer – Ai & Industrial Innovation

OverviewWe are seeking a hands-on Senior Research Engineer to drive innovation in AI, industrial automation, advanced networking, and digital twin technologies.

This role requires practical experience in designing, prototyping, and deploying AI-driven solutions in real-world industrial settings, with a strong focus on proof-of-concept (PoC) development and field validation.QualificationsMaster's or PhD in Computer Science, Electrical Engineering, AI, or a related field.5+ years of hands-on experience in AI, industrial automation, robotics, or networking in real-world settings.Strong programming expertise in Python, C++, Java, or Rust for AI / ML, automation, and embedded systems.Experience with real-time AI processing, industrial IoT sensors, and SCADA system integration.Proficiency in building, deploying, and testing AI models for predictive maintenance and process automation.Hands-on experience with PoC development, prototyping, and field validation of AI and networking solutions.Expertise in edge AI deployment (NVIDIA Jetson, TensorRT, OpenVINO, TPUs, FPGAs).

Proven track record of published research and / or patents in AI, automation, networking, industrial applications, or areas relevant to CDMKnowledge of industrial networking protocols (e.g., MQTT, Modbus, OPC-UA, TSN, DDS, LTE / 5G private networks).

Experience with advanced networking and their application in industrial and mission-critical networking environments.Experience managing R&D infrastructures, industrial test environments, and field trials.ResponsibilitiesDesign and implement AI, machine learning, and automation solutions tailored for mining and oil & gas operations.Develop and deploy predictive maintenance, asset optimization, and real-time decision-making AI models for industrial applications.Interact with the broader Bell Labs research community to collaborate on joint projects, leverage cutting-edge research, and contribute to cross-industry innovation.Build and integrate digital twins with live IoT sensor data, simulation models, and AI-driven analytics.Optimize AI processing for edge computing devices, ensuring real-time performance in harsh industrial conditions.Conduct hands-on experiments and field trials to validate AI and automation technologies.Understand industrial networking solutions (5G private networks, TSN, LPWAN, MQTT, Modbus, OPC-UA) to support mission-critical applications.Oversee R&D lab operations, equipment setup, and PoC execution.Work closely with engineering and product teams to transition prototypes into full-scale production solutions.Ensure compliance with industrial safety, cybersecurity, and mission-critical reliability standards.Publish research findings and technical reports, contributing to CDM's innovation roadmap.Stay ahead of emerging technologies in AI, high-performance computing, industrial automation, and edge networking.

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