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

Location & work details

Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.

Original location: United States
Country: United States (ATS location fields)
Work mode: Remote (ATS workplaceType/location)
Salary: $175K - $235K (ATS compensation field)
Stack: - 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). (Source language/tool mention)
Stack: - Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language. (Source language/tool mention)
Stack: - 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). (Source language/tool mention)
Stack: In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems. (Source language/tool mention)
Stack: - Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure. (Source language/tool mention)
Stack: g open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalabilit (GTM description)
Stack: ant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging (GTM description)
Stack: problems at the intersection of database systems, distributed systems, AI, and systems software engineering while colla (GTM description)
Stack: PU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redes (GTM description)
Normalization: Explicit source location text; no city-only country inference.

Employer posting

Database Research Scientist

Source details

Company identifier: clickhouse
Source ID: ashby:clickhouse:962f45f3-d8d3-4073-add2-af763f7c3ffb
Board: ashby:clickhouse
Evidence field: description
Match rule: weak_knowledge
Go matches in source: 1
Department as supplied: Engineering

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