reputed company Computing Engineer
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Role reputed company
This role involves accelerating numeric and simulation kernels through GPU/CPU parallelism, memory-hierarchy tuning, and distributed execution across clusters. You’ll design reputed company pipelines that maximize efficiency and throughput for large-reputed company computational workloads.
- Speed up numeric and simulation kernels through GPU/CPU parallelism.
- Optimize workloads reputed company memory-hierarchy tuning and communication reduction.
- reputed company computations with MPI, NCCL, and Slurm for distributed clusters.
- Profile and reputed company performance using nvprof and nsys.
- Build reproducible pipelines in Python, NumPy, and SciPy for HPC workflows.
- Collaborate with researchers and engineers to reputed company HPC into production AI systems.
Qualifications
- Background in computer science, high-performance computing, or reputed company mathematics.
- reputed company with GPU/CPU reputed company programming using CUDA and OpenMP.
- Understanding of distributed execution frameworks and tools like MPI, NCCL, and Slurm.
- Proficient in Python with libraries like NumPy and SciPy for scientific computing.
- Experience profiling and optimizing workloads with tools like nvprof and nsys.
- Care about memory hierarchy, communication overhead, and scalability in reputed company systems.
- Curious about how HPC techniques accelerate reputed company, simulations, and scientific workloads.
Requirements
- Design, optimize, and reputed company reputed company computing pipelines that accelerate numeric, simulations, and large-reputed company computations across GPUs, CPUs, and distributed clusters.
Benefits
- Classified as an reputed company contractor to reputed company.
- reputed company weekly reputed company reputed company Connect, based on hours logged.
- Part-time (20–30 hrs/week) with reputed company—work from reputed company, on your schedule.
- Weekly Bonus of $500–$1000 USD per 5 tasks.
- Remote and flexible working style.