Senior Research Engineer – AI & Industrial Innovation

We 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.

Qualifications

• Master’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 CDM.
• Knowledge 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.

Preferred Qualifications

• Direct field experience in mining, oil & gas, or industrial automation R&D.
• Demonstrated success in deploying AI-driven automation solutions in industrial environments.
• Prior work on real-time AI applications for mission-critical systems.
• Knowledge of government-funded research programs, innovation grants, and technology transfer.

Soft Skills

• Strong problem-solving mindset, with the ability to troubleshoot real-world AI deployment challenges.
• Hands-on approach to experimentation, prototyping, and industrial solution development.
• Ability to collaborate across teams, from research to engineering and field deployment.
• Strong communication skills for presenting findings to stakeholders, partners, and research communities.
• Passion for advancing AI-driven industrial transformation through practical applications.

Responsibilities

• Design 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.
• Be curious and ready to learn every day!