Graphics Performance Architect

NVIDIA; Bengaluru; On-site; INR 279,000 - 446,400; Full time

Job summary

A leading tech company in Bengaluru seeks a Performance Architect to conduct performance analyses of high-performance GPUs, develop simulation tools, and analyze architecture trade-offs. The ideal candidate will have 5+ years of experience in architecture or performance modeling, strong C++ and Python skills, and a deep understanding of computer architecture. This role offers the opportunity to shape next-generation GPU architectures in an innovative environment.

Qualifications

• 5+ years in architecture or performance modeling, with exposure to GPUs or similar compute/graphics architectures.
• Hands-on experience in graphics, GPU, or AI performance modeling/exploration is highly desirable.

Responsibilities

• Conduct performance and bottleneck analysis of complex, high-performance GPUs.
• Develop, validate, and maintain performance models and simulation tools.
• Collaborate closely with architects and design engineers.
• Drive performance exploration and provide insights for design decisions.
• Develop infrastructure for performance data analysis and visualization.

Skills

C++ programming

Python scripting

Performance analysis

Modeling and simulation

Architectural trade-offs analysis

Education

BE/BTech or MS/MTech in Computer Engineering, Computer Science, or Electrical Engineering

PhD preferred

Job description

At NVIDIA, we are constantly reinventing the way computing is done. From pioneering the GPU and shaping the future of computer graphics to redefining parallel computing and artificial intelligence, our engineers are relentlessly pushing the boundaries of innovation. Join us to be part of a team that’s driving breakthroughs in performance, scalability, and intelligence—solutions that empower developers, researchers, and creators around the globe.

What You’ll Be Doing

• Conduct performance and bottleneck analysis of complex, high-performance GPUs.
• Develop, validate, and maintain performance models and simulation tools at various levels of abstraction—including analytical, performance, and cycle-level models.
• Collaborate closely with architects and design engineers to explore architecture trade-offs across performance, area, and power metrics.
• Drive performance exploration and provide insights to guide feature definition and design decisions for next‑generation GPU architectures.
• Develop infrastructure and tools for performance data analysis, visualization, and validation to accelerate architecture studies.
• Contribute to methodologies that enable early performance estimation and improve analysis turnaround time.

What We Need To See

• BE/BTech or MS/MTech in Computer Engineering, Computer Science, or Electrical Engineering; PhD preferred.
• 5+ years in architecture or performance modeling, with exposure to GPUs or similar compute/graphics architectures.
• Strong programming and modeling skills in C++ and scripting expertise in Python.
• Deep understanding of computer architecture, including SoCs, graphics pipelines, memory systems, interconnects, and caches.
• Experience in performance analysis, modeling, or simulation at various levels of abstraction.
• Hands‑on experience in graphics, GPU, or AI performance modeling/exploration is highly desirable.
• Familiarity with hardware modeling and performance visualization frameworks is a strong plus.
• Demonstrated strength in analysis, debugging, and extracting insights from performance data.

Ways To Stand Out From The Crowd

• Proven experience building or maintaining GPU or AI hardware performance models.
• Strong understanding of graphics or compute workloads and how architectural choices impact real‑world performance.
• Experience in data‑driven performance optimization and tool development for architectural exploration.
• Excellent communication and collaboration skills, with a track record of driving cross‑functional initiatives.

JR2009891

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