NVIDIA · 3 weeks ago
DGX Cloud Performance Engineer - New Grad 2026
United States
Full-time
Remote
New Grad, Entry Level
$148K/yr - $236K/yrNVIDIA 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.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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, …)
Preferred
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
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-08
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