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.

 

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. 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 everyday!