NVIDIA

Technology

SeniorSystemSoftwareEngineer

$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 at NVIDIA. Skills: System software, Performance optimization, ARM architecture. Design software for SoCs. Develop software for SoCs”

What You'll Achieve.

Enable best-in-class performance; Enable best-in-class efficiency

Industry & Context.

Technology
Problems you'll solve

Performance analysis; Data analysis; Performance optimization; Debugging

What They're Looking For.

Must Have

BS or MS degree, 6+ years relevant experience, Proven leadership skills, Hands on technical experience, Understanding of multicore hardware, Understanding of operating systems design, Understanding of concurrency, Understanding of virtual memory, Understanding of caching, Understanding of interrupts, Understanding of device drivers, Understanding of real-time programming, Skills in performance analysis, Skills in data analysis, Skills in performance optimization

Nice to Have

Deep expertise ARM architecture, Deep expertise SW ecosystem, Proficient analyzing complex stacks, Proficient debugging complex stacks, Proficient tuning complex stacks, Experience CPU server workloads, Experience performance analysis, Familiarity CUDA programming, Familiarity GPUs, Experience HPC environments, Experience large-scale computing

What You'll Do.

Design software for SoCs

Develop software for SoCs

Test software for SoCs

Optimize software for SoCs

Review architectural bottlenecks

Identify HW/SW policies

Build architecture documents

Drive architecture documents

Build analysis documents

Drive analysis documents

Influence adoption optimizations

Drive adoption optimizations

Influence adoption methodologies

Drive adoption methodologies

How You'll Work.

Team & Collaboration

Internal audiences; External audiences; NVIDIA SW products; OSS SDKs

Communication Scope

Architecture documents; Analysis documents; 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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