SolarSys Innovations Private Ltd | Data Engineer(NVIDIA)
2 weeks ago
Support data processing and pipeline development for NVIDIA GPUs.
Collaborate with system engineers to execute AI jobs efficiently on NVIDIA infrastructure.
Compare performance outcomes between NVIDIA and Cerebras for client-specific AI projects.
Technical Skills:
NVIDIA GPU Ecosystem: Proficiency in NVIDIA software libraries such as CUDA, cuDNN, NCCL,
and TensorRT.
Machine Learning Pipelines: Experience with building and optimizing data pipelines for AI
workloads on NVIDIA GPUs.
Programming Languages: Expertise in Python, C++, or Go for developing and deploying GPUaccelerated data pipelines.
Data Preprocessing: Familiarity with frameworks like Dask, Apache Flink, or Pandas for efficient
data preparation on GPU clusters.
Cloud Integration: Knowledge of deploying and scaling GPU workloads on cloud platforms
(AWS, GCP, Azure) leveraging NVIDIA GPUs.
Qualifications:
Degree in Data Engineering or Computer Science or comparable practical experience.
Experience with data processing for AI models, particularly on GPU infrastructure.
Familiarity with NVIDIA’s AI tools and frameworks
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