Ativa os alertas de emprego por e-mail!

Senior Research Engineer – AI & Industrial Innovation

Nokia

São Paulo

Presencial

BRL 80.000 - 150.000

Tempo integral

Há 24 dias

Melhora as tuas possibilidades de ir a entrevistas

Cria um currículo adaptado à oferta de emprego para teres uma taxa de sucesso superior.

Resumo da oferta

An established industry player is looking for a Senior Research Engineer to lead innovation in AI and industrial automation. This role involves designing and deploying AI-driven solutions in real-world settings, focusing on proof-of-concept development and field validation. You will work with cutting-edge technologies to optimize AI processing for edge computing devices and collaborate with a renowned research community. If you are passionate about advancing AI-driven industrial transformation and have a strong background in automation and networking, this is the perfect opportunity for you to make a significant impact.

Qualificações

  • 5+ years of hands-on experience in AI and industrial automation.
  • Strong programming skills in Python, C++, Java, or Rust.
  • Experience with real-time AI processing and industrial IoT.

Responsabilidades

  • Design and implement AI and automation solutions for industrial applications.
  • Develop predictive maintenance and real-time decision-making AI models.
  • Conduct hands-on experiments and field trials for validation.

Conhecimentos

AI and Machine Learning
Industrial Automation
Robotics
Networking
Python Programming
C++ Programming
Java Programming
Rust Programming
Problem-Solving
Communication Skills

Formação académica

Master’s in Computer Science
PhD in Electrical Engineering

Ferramentas

NVIDIA Jetson
TensorRT
OpenVINO
FPGAs
SCADA Systems

Descrição da oferta de emprego

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!
Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.