Database Research Scientist

Preferred

• Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure.
• Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems.
• Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems.
• Bonus Qualifications
• Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks).
• Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows.