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Niche HPC/C++ specialization reduces candidate pool, but Bangalore metro and mid-level brand increase experienced applicant competition.
Highly specialized HPC, SIMD, RDMA, and database-internals skills limit cross-industry transferability.
Extensive mandatory low-level C++, MPI/OpenMP, SIMD, RDMA, and 8+ years experience creates highly stringent filters.
Lead design and development of a next-generation massively parallel processing distributed database engine handling real-time queries on petabyte-scale datasets.
Architect and optimize low-level, high-performance C++ systems including parallel execution engines (MPI, OpenMP), SIMD vectorization, and ultra-low latency cluster communication subsystems.
Design and implement in-database machine learning execution frameworks and advanced mathematical/vector algorithms to improve analytics and ML inference performance.
Degree: Minimum B.Tech/BE in Computer Science or related engineering from a reputed institute; Master's preferred for senior roles.
Experience: 8+ years hands-on low-level systems programming in modern C++ (C++17/20/23), with expertise in template metaprogramming and memory allocators.
Strong expertise in HPC parallelism: cluster programming with MPI, OpenMP, and MapReduce frameworks.
Demonstrated experience with database internals, microarchitectural optimization including SIMD intrinsics, and distributed systems with performance tuning. Location: Bangalore.
Expert at bridging HPC and Big Data system design with strong ownership of database kernel architecture and execution engines.
Proven track record in optimizing software for multi-core, vectorized hardware and designing distributed, low-latency network communication.
Experienced in both developing and reviewing complex systems in a multi-time zone elite engineering team environment with a focus on scalable, real-time analytics.