Rose International
From Rose International's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
This role is supporting NVIDIA ***Required Education:• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Marketing, or a related technical field, or equivalent experience in a practical setting.Required Skills and Experience: • Experience with performance benchmarking, workload analysis, and competitive performance evaluation for gaming and/or enterprise workstation applications.• Strong understanding of graphics performance metrics, including FPS, frame times, latency, GPU clocks, power, voltage, and thermals.• Experience working in Linux environments, including system configuration and debugging.• Strong knowledge of PC hardware architecture and the ability to identify and root-cause performance bottlenecks.• Excellent analytical, written, and verbal communication skills.• Passion for new technologies and awareness of industry trends, reviewers, technology publications, and influencer communities.• Ability to adapt quickly, manage changing priorities, and successfully balance multiple projects simultaneously.Preferred Skills and Experience:• Experience with ray tracing, DLSS, AI acceleration, RAPIDS, CUDA, or other GPU computing technologies.• Experience evaluating or developing Large Language Models (LLMs) and generative AI workloads.• Familiarity with professional and scientific applications such as MATLAB, Ansys, PyTorch, TensorFlow, or other AI and HPC frameworks.• Experience with Apple Silicon platforms (M-series processors) and macOS performance analysis.• Experience building dashboards or data visualizations using Tableau, Grafana, Power BI, or similar tools.• Programming or scripting experience in Python, C++, Bash, or PowerShell for automation and performance analysis.As a Performance Analyst supporting the NVIDIA Performance Lab, you will help build the future of NVIDIA products by gathering, studying, and sharing performance data for NVIDIA GPUs and competing platforms. Your analysis will impact engineering choices, product strategy, and market launch efforts for both GeForce and Enterprise divisions.In this role, you'll evaluate pre-production hardware and software, investigate performance issues, develop meaningful insights, and provide data-driven recommendations to collaborators across engineering, architecture, and marketing.Responsibilities:• Work alongside Marketing, Architecture, and Engineering departments across GeForce and Enterprise to review performance data, determine competitive positioning, aid product launches, and guide business decisions.• Bring up, validate, maintain, and debug pre-production, reference, and consumer hardware platforms.• Evaluate early software releases, including VBIOS, drivers, benchmarking applications, and NVIDIA technologies such as RTX, DLSS, and Reflex.• Benchmark gaming, AI, workstation, and data science workloads while collecting and analyzing key performance metrics.• Investigate, triage, and assist in resolving hardware and software performance issues by pinpointing bottlenecks and working closely with engineering teams.• Build clear, data-driven reports and presentations tailored to technical and business audiences.• Improve and expand data visualization and reporting using internal tools and platforms such as Tableau and Grafana.**Only those lawfully authorized to work in the designated country associated with the position will be considered.** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
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