Software Engineer, Performance, Reliability, Observability, PhD, Early Career

Conduct in-depth performance analysis of VMs, identifying critical bottlenecks, and developing performance models.
Work closely with other engineers and researchers, communicating research findings and contributing to technical documentation.
Design and conduct benchmarks to evaluate the effectiveness of proposed optimizations.
Develop and patent novel optimization techniques.
Share research results with the broader community through publications.

PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Experience with performance analysis tools and techniques (e.g., profiling, tracing).
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g. open-source coding).
Proficiency in programming languages like C, C++, or Go.
Knowledge of operating systems and computer architecture.
Excellent research, problem-solving, and communication skills.

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