Senior System Software Engineer - Performance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

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
Ways to stand out
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

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 work loads. Identify HW/SW policies to drive performance and performance/watt leadership
Using strong communication skills, 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

Skills

ARM

SoC

System Software

Performance Optimization

Pre-silicon

Post-silicon

CPU

GPU

Datacenter

Architecture Analysis

Competitive Analysis

uArchitecture

OSS SDKs

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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