High-Performance Systems Engineer for Large-Scale Data Retrieval
2 days ago
We are seeking a highly skilled Systems Engineer to join our team at LinkedIn, focusing on building the next-generation infrastructure platforms for large-scale data retrieval.
As part of our world-class software engineering team, you will be responsible for designing and implementing high-performance distributed database systems built using Rust to support multiple retrieval use cases. You will work closely with the IR engines team to develop scalable and efficient systems that can handle dense and sparse vectors.
The ideal candidate will have 8+ years of experience in software design, development, and algorithm-related solutions, with a strong background in programming languages such as Rust (preferred), C/C++. They will also have hands-on experience developing distributed systems, large-scale systems, databases, and/or backend APIs.
We offer a competitive salary of $180,000 per year, plus additional benefits and opportunities for growth and development.
Responsibilities:
- Own the technical strategy for broad or complex requirements with insightful and forward-looking approaches to handle retrieval for large datasets with multiple query patterns
- Design, implement, and optimize the performance of the underlying querying, storage, and indexing systems
- Improve the observability and understandability of retrieval systems with a focus on improving developer productivity and system sustenance
- Effectively communicate with the team, partners, and stakeholders
- Mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
- Work closely with the open-source community to participate and influence cutting-edge open-source projects
- Deliver incremental impact by driving innovation while iteratively building and shipping software at scale
Basic Qualifications:
- Bachelor's Degree in Computer Science or related technical discipline, or related practical experience
- 8+ years of industry experience in software design, development, and algorithm-related solutions
- 8+ years of experience programming in languages such as Rust (preferred), C/C++
- Hands-on experience developing distributed systems, large-scale systems, databases, and/or backend APIs
Preferred Qualifications:
- Experience of designing and working with the architecture of search engines and database systems, with focus on performance and scalability
- Experience with open-source projects like Apache Lucene, RocksDB, and vector DBs like Qdrant/Milvus
- Experience in architecting, building, and running large-scale low-latency distributed systems
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