Senior Systems Engineer - Compute Platform

Yesterday

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Logo of NVIDIA

NVIDIA

GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Enhance and scale our compute platform to support diverse workloads on GPUs and CPUs • Design and build scalable and distributed services to power large scale workloads • Design and build scalable tools to efficiently operate services and hardware clusters • Collaborate with multiple teams to understand their needs, and build functionality that improves their user experience and productivity • Participate in operations, oncall and user support

Requirements

• BS/MS/Phd in Computer Science, Engineering or other technical fields or equivalent experience • 6+ years of experience developing and operating backend systems at scale • Proficiency in Golang and distributed systems • Deep care for user experience • Strong collaboration and communication skills • You are extremely motivated, highly passionate, curious about and follow state-of-the-art technologies • Strong willingness to learn, listen to diverse opinions, and contribute to an inclusive and growth-oriented culture • Prior background in building AI Infrastructure for Autonomous Vehicles • Familiarity with HPC and workload managers (e.g. SLURM) • Experience with Workflow orchestration systems (e.g Flyte, Kubeflow pipelines, Airflow) • Experience managing and deploying services on the cloud (e.g. AWS, GCP) • Open source contributions #deeplearning

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