Senior Computer Vision, VLM Performance Engineer 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, Computer VisionIndustries

Requirements

Master's of Science in Computer Science or Electrical Engineering or equivalent experience
8 years practical experience or equivalent
Expertise in AI computer vision (VLMs, Vision Transformers, Diffusion models). Proven track record using its software ecosystem (PyTorch, HuggingFace, vLLM) to develop and release production-grade software
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release)
Proficiency with Python, C++ and CUDA (kernel optimization)
Experience developing cloud applications (REST APIs, gRPC)
Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives
Curiosity and drive to learn new technologies and partner across teams and functions
Ways to Stand Out
Expertise in classical, non-ML computer vision
Strong fundamentals with system-level performance: multi-threaded, multi-process and distributed software development
Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis
History of creativity and innovation around performance in multiple problem domains

Responsibilities

Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing
Improve the efficiency of VLM models themselves: kernel optimization in CUDA
Upstream improvements to SDKs and libraries across NVIDIA and beyond to deliver accelerated computer vision at scale
Promote high-performance AI computer vision across NVIDIA teams and functions (Engineering, Product Management, Marketing, and more)

Skills

VLMs

Vision Transformers

Diffusion models

PyTorch

HuggingFace

vLLM

CUDA

Python

C++

REST APIs

gRPC

CI/CD

containerization

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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