SolarSys Innovations Private Ltd | Data Engineer(NVIDIA)
4 weeks ago
Responsibilities:
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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india SolarSys Innovations Private Ltd Full timeResponsibilities: 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...
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