Senior System Software Engineer – Performance
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About this opportunity
About the opportunity: NVIDIA is seeking 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.
Your target charter is to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips.
Key responsibilities
- 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 workloads and identify HW/SW policies to drive performance and performance/watt leadership.
- Use strong communication skills to build and drive architecture, analysis documents, and communications to internal and/or external audiences about our technology.
- Conduct competitive analysis comparing uArchitecture and 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 and OSS SDKs.
Qualifications
- 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 strong ownership on past projects.
- 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.
- Strong skills 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.
Benefits
- Highly competitive salaries.
- Comprehensive benefits package.
- Equity eligibility.
- Family and personal support offerings available via www.nvidiabenefits.com/
Job details
- Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- Base salary is determined based on location, experience, and the pay of employees in similar positions.
- Applications accepted at least until October 10, 2026.
- This posting is for an existing vacancy.
About the company: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
Full listing
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