Manager, Large Language Model Inference 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

AI, Technology, SemiconductorsIndustries

Requirements

MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, or a related technical field
7+ overall years of software engineering experience, including 3+ years of technical leadership experience
Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups
Strong background in C++ or Python, with expertise in software design and delivering production-quality software libraries
Demonstrated expertise in large language models (LLM) and/or vision language models (VLM)

Responsibilities

Lead and grow a team responsible for specialized kernel development, runtime optimizations, and frameworks for LLM inference
Drive the design, development, and delivery of production inference software, targeting NVIDIA's next-generation enterprise and edge hardware platforms
Integrate cutting-edge technologies developed at NVIDIA and offer an intuitive developer experience for LLM deployment
Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination

Skills

LLM Inference

TensorRT

Kernel Development

Runtime Optimizations

Software Frameworks

GPU Programming

Deep Learning

AI Deployment

Project Planning

Cross-Functional Coordination

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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