Software Engineer - Test Automation

Programming Languages: Proficiency in C++, C#, Java, Python or R.

Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar.

Data Handling: Strong skills in SQL, NoSQL databases, and data preprocessing.

Algorithms and Statistics: Solid understanding of algorithms, data structures, machine learning models, and statistical methods.

Deep understanding in profiling, scaling and tuning of relational (such as SQL Server) and non-relational databases (such as Redis, MongoDB)

Understand system-level requirements and translate them into good software design

Solid understanding in computer architecture, design patterns, UI frameworks, and API design

Self-starter and quick learner who adapts to dynamic schedules, evolving requirements, and multi-functional work in a complex semiconductor environment.

Knowledge with technologies like Kafka, Kubernetes, MySQL, Hadoop, BigQuery and other open-source databases is a plus

Experience with Continuous Integration tools and process—Jenkins is a plus

Experience with REST API testing tools and automation frameworks—Postman/RestSharp is a plus

Strong written and verbal communication skills

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.

Interns are eligible for some of the benefits listed.

Our pay ranges are determined by role, level, and location.

The range displayed reflects the pay for this position in the primary location identified in this posting.

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