Senior Research Engineer – AI & Industrial Innovation

Brazil (Hybrid)

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.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• 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!

KEY SKILLS AND EXPERIENCE

• 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.

About Us

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer

Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.

About the Team

Strategy and Technology lays the path for Nokia’s future technology innovation and identifies the most promising areas for Nokia to create new value. We set the company’s strategy and technology vision, offer an unparalleled research foundation for innovation, and provide critical support infrastructure for Nokia. 

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Job Info

• Job Category Pure Research
• Posting Date 04/02/2025, 03:06 PM
• Locations Rue Werner Von Siemens, 111, Sao Paulo, Sao Paulo, 05069-010, BR (Hybrid)
• Degree Level Doctor’s Degree (e.g PhD)
• Job Schedule Full time
• Role Type Individual contributor
• Job Identification 18713
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