Hybrid
Full Time
Key Skills: Cluster, C++, Java, SIMD, AVX, OpenCV, OpenMP, OpenCL. Roles and Responsibilities: Understand project specifications and performance requirements and drive adherence to project timelines, ensuring program milestones are achieved on schedule. Lead and expand a team of software engineers while ensuring effective collaboration within the team. Manage time and organizational tasks efficiently to meet development objectives. Adapt swiftly to changes within the fast-paced high-performance computing industry. Identify and address bottlenecks in data movement, code execution, and job scheduling. Leverage in-depth knowledge of Linux systems and internals to support HPC infrastructure. Apply proficiency in Shell and Python scripting to support testing and automation. Ensure optimized performance of parallel and distributed computing applications. Experience Requirement: 3 to 5 years of validated experience in HPC or a related engineering domain. Strong Object-Oriented programming skills in Java and/or C++. Proven proficiency in parallel programming and distributed computing techniques. Strong understanding of HPC hardware including servers, GPUs, networking, storage, BIOS, and BMC. Experience with performance profilers such as Intel vTune, Nvidia Nsight Compute, AMD uProf, and perf is preferred. Familiarity with libraries such as SIMD, AVX, IPP, MKL, OpenCV, OpenMP, OpenCL, MPI, and CUDA is advantageous. Experience with observability tools for distributed systems like Prometheus and Grafana is a plus. Demonstrated ability to work effectively in a team, manage tasks efficiently, and adapt to evolving priorities. Education: B.Tech M.Tech (Dual), B.E., B.Tech.
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