Performance Engineer - Open Source

This role is designed for engineers who bring exceptional rigor and clarity to software performance, efficiency, scalability, and correctness. You will work across the software stack, from CPUs, kernels, and runtimes to applications, databases, and web technologies. As a performance engineering specialist, you will help teams measure complex systems, identify bottlenecks, strengthen testing capabilities, and improve engineering practices. You will contribute to shared performance tooling, measurement frameworks, dashboards, and analytical capabilities while influencing performance culture across engineering teams. The role offers exposure to open source technologies, major silicon architectures, cloud platforms, and diverse technical environments. You will also have opportunities to mentor colleagues, lead initiatives, and apply your expertise across different products and engineering domains.

• Demonstrated experience improving software performance, efficiency, scalability, or correctness through practical engineering work, personal initiatives, or professional projects.
• Strong experience with Linux, ideally including Debian or Ubuntu environments.
• Solid understanding of performance engineering concepts and the ability to investigate systems across multiple layers of the technology stack.
• Knowledge of low-level CPU behavior, including caches, registers, memory, vectorization, and assembly language, is valuable.
• Experience with kernel performance concepts such as scheduling, context switching, and hardware acceleration is a plus.
• Familiarity with distributed systems performance, tracing, debugging, compiler optimization, profiling, or runtime performance.
• Experience with performance measurement and profiling tools such as eBPF, D-Trace, flamegraphs, or comparable technologies.
• Knowledge of benchmarking frameworks and performance measurement tools such as Phoronix Test Suite is beneficial.
• Experience with one or more programming languages such as C, C++, Rust, Go, Python, Java, JavaScript, Node.js, or Dart.
• Familiarity with database performance evaluation, including query plans, indexing, data modeling, tracing, and monitoring, is an advantage.
• Strong analytical thinking and the ability to translate complex performance data into practical engineering decisions.
• Excellent written and spoken English, with strong presentation and communication skills.
• Demonstrated leadership, initiative, and commitment to mentoring and developing technical skills in others.
• Confidence to exchange feedback, challenge assumptions respectfully, and share ideas openly.
• Strong interpersonal skills, curiosity, flexibility, accountability, and a results-oriented mindset.
• Passion for technology demonstrated through personal projects, open source contributions, technical experimentation, or other initiatives.
• A bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline is preferred.
• Willingness and ability to travel internationally twice a year for company events lasting up to two weeks.