Senior System Software Engineer - Performance

About the role

NVIDIA is seeking a highly motivated technical engineer to join the Tegra system-on-chip (SoC) software organization. The ideal candidate will be responsible for designing, developing, testing, and optimizing software for the company's next-generation SoCs. This includes working on both pre-silicon and post-silicon phases, reviewing architectural performance bottlenecks, identifying HW/SW policies to drive performance and performance/watt leadership, and building and driving architecture, analysis documents and communications.

Responsibilities

• Design, develop, test, and optimize software for our next-generation SoCs.
• Review architectural performance bottlenecks for various system wide workloads.
• Identify HW/SW policies to drive performance and performance/watt leadership.
• 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 best practices across NVIDIA SW products & OSS SDKs.

Requirements

• 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.
• Strong use of linux perf tool, application/library performance optimizations.

Qualifications

• 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.

Skills

• Strong communication skills.
• Ability to influence and drive full-stack adoption of performance optimizations and best practices.

Benefits

• Competitive base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5.
• Eligibility for equity and benefits.

Pay

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

• Full-time position.