Top Tech Jobs & Startup Jobs

The Senior Site Reliability Engineer will design, deploy, and manage large-scale GPU clusters to support AI workloads. Responsibilities include improving infrastructure through automation, ensuring uptime, conducting root cause analysis for incidents, and integrating new GPU and cloud technologies.

As a Senior Financial Reporting Analyst at NVIDIA, you will prepare SEC financial filings, enhance financial analytics, and support the quarter-end close process. You'll collaborate with cross-functional teams to improve Sustainability reporting and ensure compliance with regulatory changes, while providing analysis and technical accounting support.

The Senior DL Algorithms Engineer will optimize deep learning inference workloads, analyze performance characteristics of models, develop software across the stack, and collaborate with co-design teams to innovate AI-powered services.

As a Senior Compiler Engineer at NVIDIA, you will design and implement key components of the compiler, focusing on performance analysis and optimizations while collaborating with teams to resolve issues. You will work on advanced GPU technologies and contribute to open-source projects, driving innovations in GPU computing.

Design, deploy, and manage large-scale GPU clusters for AI workloads. Improve infrastructure automation and quality of service through proactive monitoring and incident resolution. Collaborate with teams across cloud environments and write Root Cause Analysis reports for incidents while participating in on-call rotations.

The job involves developing and optimizing applications for the Holoscan platform, focusing on real-time sensor I/O and data transfer to NVIDIA GPUs. Responsibilities include designing scalable software, conducting code reviews, collaborating with multi-functional teams, and engaging with customers for product solution design.

The Senior DGX Cloud Performance Engineer at NVIDIA will drive performance analysis, optimization, and modeling for NVIDIA's DGX Cloud clusters. Responsibilities include developing benchmarks, analyzing performance bottlenecks, collaborating with external cloud service providers, and enhancing system performance. Candidates should have a strong background in parallel and distributed systems, AI workload optimization, and performance modeling.