System Software Engineer - Performance

NVIDIA Corporation; Austin (TX); On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA in Austin, TX is seeking a highly motivated SoC software engineer to join the Tegra software organization. You will design, develop, test, and optimize software for next-generation ARM-based SoCs in pre- and post-silicon phases.

You will analyze performance bottlenecks, communicate findings to internal teams, and develop benchmarks and tools. The role requires strong knowledge of multicore hardware, OS design, and real-time programming, with CUDA familiarity as a plus.

Qualifications

• BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
• 2+ years of relevant computer architecture or software development experience.
• Hands-on experience with complex software/hardware designs.
• Strong understanding of multicore hardware, OS design, concurrency, virtual memory, caching and real-time programming.
• Experience in performance analysis, data analysis and optimization.
• Expertise in ARM architecture and software ecosystem.
• Proficient in analyzing, debugging and tuning performance of complex system software.
• Experience with CPU server workloads and performance analysis.
• Familiarity with CUDA programming and/or GPUs.
• Experience with HPC or large-scale computing environments.

Responsibilities

• Design, develop, test, and optimize software for next-generation SoCs in pre- and post-silicon phases.
• Analyze and identify performance bottlenecks in the SoC.
• Communicate findings to internal and external audiences about our technology.
• Conduct competitive analysis of architecture and workload performance.
• Develop tools and benchmarks to analyze performance.

Skills

ARM architecture

OS design

Concurrency

Real-time programming

Performance analysis

C/C++ development

Multicore hardware

Data analysis

CUDA programming

HPC environments

Education

Bachelor's or Master's in Computer Engineering or Computer Science

Tools

CUDA

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.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 performanceWhat 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 October 17, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.