R&D Engineer-Embedded Data Analytics
Data Science
Hyderabad, Telangana, India
Bij ABB helpen we industrieën beter te presteren - slanker en schoner. Vooruitgang is hier een verwachting - voor jou, je team en de wereld. Als wereldwijde marktleider geven we je wat je nodig hebt om dat waar te maken. Het zal niet altijd gemakkelijk zijn, groeien vergt lef. Maar bij ABB sta je er nooit alleen voor. Doe wat de wereld doet draaien.
Deze functie rapporteert aan:
Chapter LeadYour role and responsibilities:
In this role, you will have the opportunity to contribute to ABB’s success with technology, software, product, and system development. Each day, you will identify and implement innovative solutions to relevant problems. You will also showcase your expertise by providing ideas and by being able to work both independently and as a part of a Research & Development (R&D) team.
The work model for the role is: #LI-Onsite
This role is contributing to the Electrification Business Smart Power Division in Hyderabad, India.
You will be mainly accountable for:
You will research the latest advancements in data analytics and AI within embedded systems, and design develop and implement proof-of-concept prototypes.
You perform unit testing, integration testing, and system testing to ensure software quality and functionality.
You will be responsible for documenting your work, sharing your findings, and assisting teams in integrating the outcomes of your efforts into their products.
You contribute to discussions of intellectual property and secure patent rights for ABB by driving the IP creation.
You monitor technology developments and technologies to identify technical drivers for R&D projects, supported by your thorough understanding of key business drivers for ABB’s products and solutions.
You participate in internal and external networks to expand your knowledge of your area of expertise.
You take responsibility for firmware development activities, including risk identification, alignment with targets, and close coordination with suppliers and other functions (e.g. product management).
Qualifications for the role :
PhD or M.Tech in Computer Science, Electronic, Electrical Engineering, Embedded Systems or comparable field with 4 years of hands on experience and must have seen at least 2 project cycles.
Proficiency in C/C++/Python/MATLAB and knowledge of TensorFlow/Rust backed by solid computer science fundamentals.
Working experience of predictive maintenance and ML algorithms, covering both classical approaches (signal processing, anomaly detection) and deep learning techniques suited for embedded/edge environments.
Confident handling of development infrastructure: Azure DevOps, CI/CD pipelines, version control systems (git), lifecycle management, build systems, unit testing, debug probes, logic analyzers and similar tools.
Solid knowledge in structured development processes, ranging from requirement analysis, design, and implementation to test and documentation.
A solution-focused approach as well as strong written and spoken communication skills.
You understand that software development is a collaborative effort. You are caring and kind with your colleagues, and they work better when they work with you.
Self-reliant attitude to work combined with initiative and organizing ability.
More about us :
ABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings. The Division’s technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division’s portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world’s largest data center companies with advanced energy-efficient UPS solutions. The Division’s ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.
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Aanvraag-ID: JR00043167