[Remote] DGX Cloud Performance Engineer - New Grad 2026

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its advanced AI platforms. They are seeking a New Grad Performance Engineer to analyze, optimize, and model performance for DGX Cloud clusters, collaborating with cross-functional teams to enhance system performance and usability. Responsibilities Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both) Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud Skills Currently pursuing Masters or PhD in Engineering or equivalent experience (preferably, Electrical Engineering, Computer Engineering, or Computer Science) Experience in working with large scale parallel and distributed accelerator-based system systems Experience optimizing performance and AI workloads on large scale systems Background with performance modeling and benchmarking at scale Background in Computer Architecture, Networking, Storage systems, Accelerators Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others Experience with AI/ML models and workloads, in particular LLMs as well as an understanding of DNNs and their use in emerging AI/ML applications and service Proficiency in Python, C/C++ Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …) PhD in the relevant areas Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly Proficiency in CUDA, XLA Excellent interpersonal skills Benefits Equity Benefits Company Overview NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.