Manager, Graphics Tools Engineering 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, Gaming, GraphicsIndustries

Requirements

Real passion for 3D graphics, AI, and low-level programming with 8+ overall years of relevant experience
Bachelor’s in Computer Science, Mathematics, or related engineering fields or equivalent experience
Excellent C/C++ programming skills
2+ years of previous experience as a technical lead or manager, with a proven ability to effectively lead a team of engineers in a fast paced and dynamic environment
Ability to provide accurate estimates to ensure delivery of software on time
Knowledge of 3D Graphics Algorithms and GPU Architectures, with proficiency in at least one 3D Graphics API such as Direct3D, OpenGL, or Vulkan
Deep understanding of computer architecture concepts such as virtual memory, caches, registers, threads, and heterogeneous computing
Excellent written and verbal communication skills

Responsibilities

Lead the technical design and implementation of numerous features working in an Agile/JIRA environment
Improve existing tools for NVIDIA GPUs, enabling developers to quickly identify and resolve rendering and performance issues and create innovative new tools that bridge AI & graphics in next generation workflows
Collaborate closely with internal and external partners, including teams within NVIDIA such as the Compiler, Driver, and GPU Architecture teams
Drive technology discussions and provide feedback on system architecture as well as demonstrate ongoing growth in technical and leadership abilities
Accurately estimate and prioritize tasks in order to create realistic delivery schedules
Write fast, effective, maintainable, reliable and well-documented object-oriented code
Mentor and guide engineers, providing feedback on performance and career development
Document requirements and designs, and review documents with key partners
Meet with the QA Department to develop test plans for new features

Skills

3D Graphics

GPUs

Low-Level Programming

Object-Oriented Programming

Agile

JIRA

Compiler

Driver

GPU Architecture

Mentoring

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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