Software Engineer, ML Fabric Deployment Acceleration

Job description

Own software development through planning, design, development, testing, maintenance, and improvements. Work closely with other PLANET/PIE and cross-functional teams on API designs/system integrations and gathering requirements. Develop core infrastructure used by external teams, and support system integration testing for network deployment automation. Support delivery of critical network programs to deliver next-generation ML systems. Manage individual project priorities, deadlines and deliverables. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with coding in C++ and Python, or 1 year of experience with an advanced degree. 2 years of experience with test frameworks. Preferred Qualifications: Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with ITS SUT. Experience developing Integration test frameworks.