Senior Deep Learning Architect, LLM Inference at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Master’s or PhD degree in Computer Science, Computer Engineering, or related fields, or equivalent experience
6+ years of relevant industry experience
Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations
Proficiency in Python and C++ programming languages and familiarity with CUDA
Experience with LLMs and their performance challenges and opportunities
Solid understanding of CPU and GPU microarchitecture and performance characteristics
Experience with complex software projects like frameworks, compilers, or operating systems
Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment

Responsibilities

Characterize the latest LLMs and inference servers (vLLM, SGLang) to ensure TRT-LLM maintains its leadership position
Build engaging content (blog posts, etc.) highlighting TRT-LLM’s achievements, in collaboration with the performance marketing team
Debug and establish standard methodologies with engineers from AI startup companies
Profile GPU kernel-level performance to identify hardware and software optimization opportunities
Develop profiling and analysis software tools to keep pace with the rapid pace of network scaling
Contribute to deep learning software projects (PyTorch, TRT-LLM, vLLM, SGLang) to drive advancements in the field
Verify that TRT-LLM’s performance meets expectations for new GPU product launches
Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams

Skills

Key technologies and capabilities for this role

PythonC++CUDAPyTorchLLMsvLLMSGLangTRT-LLMprofilingcompiler optimizationsGPU microarchitectureTensor ParallelMoEpaged attentionHuggingFace

Questions & Answers

Common questions about this position

What is the salary for this position?

The base salary range is $184,000.

Is this role remote or onsite?

This is an onsite position.

What skills are required for this Senior Deep Learning Architect role?

Required skills include detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations; proficiency in Python and C++ with CUDA familiarity; and experience with LLMs, CPU/GPU microarchitecture, and complex software projects.

What is the company culture like at NVIDIA for this team?

The team consists of motivated, forward-thinking, and highly skilled individuals in a challenging and rewarding environment at NVIDIA, one of the most desirable employers in technology.

How can I stand out in my application for this role?

Demonstrate a drive to continuously improve software and hardware performance, and showcase examples of novel use cases for agentic AI tools in the workplace.

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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