Database Research Scientist

🔥 6 minutes ago

🌐 United States, Canada, +3 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇬🇧 United Kingdom – Remote 🇩🇪 Germany – Remote 🇳🇱 Netherlands – Remote

💵 $175k - $235k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

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ClickHouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $400M Series D on 2026-01

SaaS • Enterprise • Artificial Intelligence

ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

📋 Description

• Conduct applied research advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL • Design and evaluate algorithms, data structures, and system architectures for query optimization, indexing, storage management, query execution, and distributed data management • Develop research prototypes and production-grade implementations • Work with engineering teams to integrate successful techniques into open-source and production systems • Collaborate with database engine, infrastructure, and data-plane engineers to identify high-impact research problems • Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities • Design experiments and benchmarks across realistic workloads, hardware configurations, and deployment environments • Communicate research through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues • Identify emerging research opportunities and help shape longer-term ClickHouse Labs research projects • Investigate performance and scalability bottlenecks in production-quality systems and develop new algorithms and system designs • Work on open-source database systems such as ClickHouse and PostgreSQL

🎯 Requirements

• Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems • Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems • Strong programming and systems-development background, including experience with database internals or large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs • Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language • Strong analytical, experimental, problem-solving, and technical communication skills • 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 machine learning and systems techniques • Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems • Familiarity with formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean • Familiarity with LLVM, eBPF, Python, Go, advanced profiling and debugging tools, perf, sanitizers, or tracing frameworks • Proven track record optimizing database systems via hardware acceleration such as GPU, FPGA, or CXL, using CUDA, SYCL, ROCm, or specialized FPGA development flows

🏖️ Benefits

• Employer contributions towards healthcare • Stock options/equity in the company • Flexible time off in the US • Generous time off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites • Flexible work environment • Remote-friendly work arrangement

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