ARM SoC System Software Engineer — Performance & Datacenter

NVIDIA; Redmond; Vor Ort; AUD 178.000 - 280.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a technically strong engineer to join the Tegra SoC software team. You will design, develop, test, and optimize software for next-generation ARM SoCs and analyze performance bottlenecks in both pre- and post-silicon stages.

You will communicate findings to internal teams and external audiences, perform performance analysis, and contribute to CUDA-related and GPU-enabled workloads. This is an on-site role with competitive pay and benefits.

Qualifikationen

• 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.

Aufgaben

• Design, develop, test, and optimize software for the next-generation SoCs, in pre- and post-silicon phases.
• Analyze and identify performance bottlenecks in the SOC.
• Communicate complex tech clearly to internal/external audiences.
• Conduct competitive analysis of architecture and workload performance against other vendors.
• Develop tools and use benchmarks to analyze performance.

Kenntnisse

Multicore hardware

Operating systems design

Concurrency

Virtual memory

Caching

Interrupts

Device drivers

Real-time programming

Performance analysis

Data analysis

Performance optimization

Ausbildung

BS or MS degree in Computer Engineering/CS

Tools

CUDA programming

Jobbeschreibung

NVIDIA is seeking a technically strong engineer to join the Tegra SoC software team. You will design, develop, test, and optimize software for next-generation ARM SoCs and analyze performance bottlenecks in both pre- and post-silicon stages.

You will communicate findings to internal teams and external audiences, perform performance analysis, and contribute to CUDA-related and GPU-enabled workloads. This is an on-site role with competitive pay and benefits.