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

Requirements:

• 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).

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and benefits:

• Opportunities to switch teams and projects as you and the business grow and evolve.
• Work on next-generation technologies affecting billions of users.
• Contribute to a variety of areas including distributed computing, AI, UI design, and more.