System Software Engineer - Performance

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 tightly coupled CPU, GPU and DPU technology 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.

Analyze and identify performance bottlenecks in the SOC.

Using strong communication skills, 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.

Develop tools and use benchmarks to analyze performance

What we need to see:

BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).

2+ years of relevant computer architecture or SW development experience.

Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.

Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

Experience in performance analysis, data analysis and performance optimization.

Ways to stand out from the crowd:

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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.