Senior Deep Learning Software Engineer, Inference and Model Optimization 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, Machine Learning, TechnologyIndustries

Requirements

Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field
3+ years of relevant work or research experience in Deep Learning
Excellent software design skills, including debugging, performance analysis, and test design
Strong proficiency in Python, PyTorch, and related ML tools (e.g. HuggingFace)
Strong algorithms and programming fundamentals
Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment

Responsibilities

Train, develop, and deploy state-of-the-art generative AI models like LLMs and diffusion models using NVIDIA's AI software stack
Leverage and build upon the torch 2.0 ecosystem (TorchDynamo, torch.export, torch.compile, etc.) to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution
Develop high-performance optimization techniques for inference, such as automated model sharding techniques (e.g. tensor parallelism, sequence parallelism), efficient attention kernels with kv-caching, and more
Collaborate with teams across NVIDIA to use performant kernel implementations within our automated deployment solution
Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities
Continuously innovate on the inference performance to ensure NVIDIA's inference software solutions (TRT, TRT-LLM, TRT Model Optimizer) can maintain and increase its leadership in the market
Play a pivotal role in architecting and designing a modular and scalable software platform to provide an excellent user experience with broad model support and optimization techniques to increase adoption

Skills

PyTorch

HuggingFace

CUDA

TRT-LLM

Triton

TorchDynamo

torch.export

torch.compile

Tensor Parallelism

Sequence Parallelism

Quantization

Pruning

Sparsity

Neural Architecture Search

LLMs

Diffusion Models

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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