Staff Engineer - C++
Circana (company site, opens in a new tab)6+ yrsBengaluruHybridDirect career pageEst. 30–50 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and development of a next-generation massively parallel processing (MPP) distributed database engine optimized for low-latency and high-throughput use at petabyte-scale data.
- Design and implement core database subsystems including query execution engines, distributed transaction managers, SIMD vectorization, and cluster communication protocols (RDMA, RoCE).
- Build in-database machine learning inference frameworks and advanced vector/embedding search infrastructures for real-time analytics across a multi-node HPC cluster.
Minimum Requirements
- Bachelor's degree in Computer Science Engineering (minimum 4 years) from a reputed institute; Master's preferred for senior roles in HPC/Big Data.
- 6+ years professional experience in modern C++ (C++17/20/23) including template metaprogramming, coroutines, and memory allocators.
- Expertise in HPC parallel programming with MPI and OpenMP, with strong background in low-level hardware optimization (SIMD, cache locality).
- Practical experience with distributed database internals, concurrency (lock-free data structures, atomics), and performance tuning/debugging tools.
Ideal Candidate Profile
- Experienced systems engineer bridging high-performance computing and big data distributed systems at scale with strong hardware-aware optimization skills.
- Comfortable with both architectural leadership and hands-on development in highly parallel, distributed, latency-sensitive environments.
- Background or exposure to in-database machine learning pipelines, vector search algorithms, and complex clustered data infrastructures preferred.