Manager, Systems Software Engineering - NVLink and AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Data CenterIndustries

Requirements

BS+ degree in CS or related or equivalent experience
10+ overall years of industry large distributed system software development experience
4+ years of experience managing AI/SW development teams
Experience debugging functional and performance issues in complex software/firmware systems
Strong technical foundation in software engineering, particularly Python, data structures, and system design
Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace
Demonstrated success in leading cross-functional teams across architecture, firmware/hardware interfaces

Responsibilities

Managing a team of software engineers passionate about developing tools and software/firmware solutions for next generation NVLink systems in the data center
Provide technical direction and strategic leadership in the design, development, and deployment of debug tools using LLMs, agentic AI, and related technologies and their integration into production systems
Be the primary technical leader passionate about developing debug features into the software stack
Collaborate with software, firmware and platform teams to direct the investigation and resolution of complex issues in the software/firmware stack
Align priorities across collaborators and define metrics for measuring the success of the product/team

Skills

Systems Software

NVLink

LLMs

Agentic AI

Debug Tools

Firmware

Distributed Systems

Software Development

Team Management

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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