2 months ago

Senior GPU Memory Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Seeking a Senior GPU Memory Architect to design and optimize memory systems for NVIDIA’s next-generation GPUs. You will develop architecture and micro-architecture, run performance simulations, create models, analyze workloads, and collaborate with industry partners to define specifications for high-performance, power-efficient memory subsystems used in AI, autonomous vehicles, and gaming.

Location: Santa Clara, Austin, Durham

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
•Participating in performance simulation of features to improve memory access efficiency.
•Implementing and maintaining high-level functional and performance models.
•Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
•Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.

Key Requirements

•Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
•6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in memory caching and interconnects.
•Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Mentoring junior engineers and interns is a plus.
•Experience with hardware memory management unit, prefetching, or memory subsystems.
•Practical experience with multi-core systems and memory coherency.

Experience:6+ yearsGPUCPUMemory architectureInterconnectsMulticore

Education:Master's

Skills:RTLGPU memoryMemory management unitPrefetchingMulticoreMemory coherencySimulation

Languages:English

Tech Stack:RTLGPUMemory subsystemSimulation

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior GPU Memory Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Santa Clara, Austin, Durham

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
•Participating in performance simulation of features to improve memory access efficiency.
•Implementing and maintaining high-level functional and performance models.
•Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
•Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.

Key Requirements

•Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
•6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in memory caching and interconnects.
•Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Mentoring junior engineers and interns is a plus.
•Experience with hardware memory management unit, prefetching, or memory subsystems.
•Practical experience with multi-core systems and memory coherency.

Experience:6+ yearsGPUCPUMemory architectureInterconnectsMulticore

Education:Master's

Skills:RTLGPU memoryMemory management unitPrefetchingMulticoreMemory coherencySimulation

Languages:English

Tech Stack:RTLGPUMemory subsystemSimulation

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor