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NVIDIA AI is seeking a software engineer to build agentic systems that automate simulation, evaluation, and performance analysis for AI workloads across GPU and LPU platforms.
You will collaborate with cross-functional teams, optimize inference characteristics, and automate critical engineering workflows such as capacity planning and release qualification.
Build agentic systems to automate simulation, evaluation, and performance analysis for AI workloads across GPU and LPU platforms. Collaborate with cross-functional teams to optimize inference characteristics and automate critical engineering workflows like capacity planning and release qualification.
Requirements: Requires a Master's degree in Computer Science or Engineering and over 5 years of software development experience, including 2 years specifically building AI agents. Candidates must be proficient in Python and have experience with AI inference workloads and performance modeling.
Key Skills: AI Agents, Python, Model Architectures, Performance Analysis, Simulation, Profiling, Benchmarking, Performance Modelling, GPU Architecture, LPU Systems, Distributed Inference, High-Performance Computing, LLMs, Reasoning Models, Multimodal Models, Engineering Tools
Benefits: Equity