Quality Assurance Engineer
OuraFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
The ideal candidate should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related field, along with a minimum of five years of experience in software quality assurance or a related area. Strong understanding of software testing principles, methodologies, and techniques is required, as is experience with test case design, test planning, and test execution. Experience with bug tracking systems such as Jira or Bugzilla is also necessary, and familiarity with test automation tools like Selenium, JUnit, TestNG, or Cypress is highly desirable.
As an SQA Engineer, the responsibilities include designing, developing, and executing test plans and test cases for various software testing types, such as functional, integration, system, regression, and performance testing. The role involves identifying, analyzing, and documenting software defects, communicating them effectively to developers, and collaborating with developers to understand software requirements and design. Furthermore, the SQA Engineer will participate in software design reviews, develop and maintain automated test scripts and frameworks, perform regression testing, analyze test results and provide reports, contribute to QA process improvements, and stay current with testing tools and methodologies. The position may also involve involvement in performance testing, security testing, and user acceptance testing (UAT), as well as setting up and maintaining test environments, and collaborating with cross-functional teams.
Optical interconnects for high-performance computing
Celestial AI focuses on high-performance computing for hyperscale data centers with its technology called Photonic Fabric™, an optical compute interconnect. This technology reduces DRAM requirements by up to 35% and lowers power consumption while increasing bandwidth capacity, which is essential for multi-tenant cloud environments. Additionally, it allows for the disaggregation of High Bandwidth Memory (HBM) using optics instead of traditional connections. The goal is to provide optical connectivity that supports advancements in Generative AI and complex workloads.