R&D Software Engineer

As an R&D Engineer, you will lead the design and development of Network Management applications for Optical Transport and SDH/SONET networks. You will leverage data science expertiseincluding advanced modeling, feature engineering, and time-series database management along with proficiency in Python and GoLang, to build efficient, scalable solutions. This role also involves implementing CI/CD pipelines, mentoring junior developers, and collaborating across global teams in a fast-paced environment to drive innovation and excellence.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• Analyze data and apply suitable models, including univariate and multivariate approaches.
• Be an expert in various learning models, including supervised, unsupervised, different neural network variations, and probabilistic and stochastic models for different data types.
• Specialize in feature engineering, understanding the capabilities and limitations of different models.
• Be proficient in Python, NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow, and GoLang.
• Differentiate between Proof-of-Concept and Deployment phases for small- and large-scale data, with familiarity in CI/CD pipelines.
• Adapt quickly to new technologies and tools, demonstrating a proven ability to learn and apply Optical Transport knowledge.

Qualifications

You have:

• Bachelor's degree or equivalent with 8 to 12 years of experience.
• Proficiency in Python (NumPy, Pandas, PyTorch, TensorFlow), GoLang, Java (Spring), and time-series databases.
• Knowledge of Optical Transport, Photonic/WDM, and SDH/SONET networks.

It would be nice if you also had:

• Ability to lead a team and work in a fast-paced, iterative environment.
• Skills to mentor and work with junior developers while excelling at execution.
• Motivation for high-quality software development in challenging and geographically distributed environments.