Full-Time

Manager – Graphics Tools Engineering

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$224k - $425.5kAnnually

+ Equity

Senior, Expert

Santa Clara, CA, USA

Category
Game Engineering
Software Engineering
Required Skills
Agile
JIRA
OpenGL
C/C++
Requirements
  • Real passion for 3D graphics, AI, and low-level programming with 6+ 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.
Desired Qualifications
  • Experience developing drivers for GPUs and understanding of Deep Learning and AI.
  • Expertise in GPU low-level performance tuning/optimization, including profiling and debugging.
  • Experience writing, debugging and optimizing HLSL/GLSL shader code for gaming, device drivers, real-time systems or low level libraries.
  • Background in the game industry or in a field that requires high-performance graphics.
  • Be able to demonstrate initiative and determination to get things done.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable clients to achieve immersive experiences and drive advancements in their respective fields.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match