NVIDIA

Technology

SeniorSystemSoftwareEngineer-Performance

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior System Software Engineer - Performance at NVIDIA. Skills: System Software, Performance Optimization, ARM Architecture, SoC. Design, develop, test, and optimize software for SoCs. Review architectural performance bottlenecks”

What You'll Achieve.

enable best-in-class datacenter-scale performance; performance/watt leadership; drive performance and performance/watt leadership

Industry & Context.

Technology
Problems you'll solve

performance analysis; data analysis; performance optimization; analyzing, debugging and tuning performance

What They're Looking For.

Must Have

BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience), 6+ years of relevant computer architecture or SW development experience, Proven leadership skills and ownership on past projects, Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs, understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming, stills in performance analysis, data analysis and performance optimization

Nice to Have

Deep expertise in ARM architecture and SW ecosystem, Proficient in analyzing, debugging and tuning performance of complex system software stacks, Experience with CPU server system workloads and performance analysis, Familiarity with CUDA programming and/or GPUs, Experience with HPC or large-scale computing environments

What You'll Do.

and optimize software for SoCs

Review architectural performance bottlenecks

Identify HW/SW policies

Build and drive architecture documents

Competitive analysis comparing uArchitecture

Influence and drive full-stack adoption

How You'll Work.

Team & Collaboration

Work with product team

Communication Scope

Communication skills; drive architecture, analysis documents and communications

Full Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips. **What you will be doing:** * Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution. * Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership. * Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology. * Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors. * Influence and drive full-stack adoption of performance optimizations and standard methodologies across NVIDIA SW products & OSS SDKs **What we need to see:** * BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). *

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