Full-Time

Senior Graphics Compiler Engineer

Slang

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

$184k - $356.5kAnnually

+ Equity

Senior, Expert

Washington, USA + 3 more

More locations: California, USA | Santa Clara, CA, USA | United States

Hybrid role requiring in-office presence.

Category
Embedded Engineering
Software Engineering
Required Skills
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • M.S. or Ph.D. in computer science or equivalent experience.
  • 10+ years of experience in software development.
  • Proficiency in C++ and HLSL/GLSL.
  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, release). Proven track record developing, testing and releasing production-grade, complex software.
  • Extensive experience in developing and optimizing real-time rendering systems and/or parallel programming models.
  • Deep knowledge of compiler implementation techniques, including parsing, semantic checking, intermediate representations, and optimization.
  • Strong Collaboration skills to work with researchers, application developers, graphics drivers, and tools teams.
  • Familiarity with modern Graphics APIs such as Direct3D 12, Vulkan, and/or OptiX.
Responsibilities
  • Invent the future of programming models for real-time graphics developers within an open-source shader compiler framework.
  • Collaborate with top-tier graphics engineers and neural graphics researchers to evolve and improve the language and compiler implementation.
  • Introduce new language constructs, implement critical optimizations, and add language support for GPU hardware capabilities.
  • Establish and drive product-critical performance and quality metrics.
  • Profile, debug, and optimize the Slang stack for both compile-time and run-time performance.
  • Coordinate with a distributed development team on a large code base using modern software development processes, including continuous integration, testing, and deployment.
Desired Qualifications
  • Understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI, with relevant contributions to major open-source projects.
  • Proficiency in general-purpose languages such as Rust or Swift.
  • Experience in programming language design and implementation or type theory.
  • Proven track record in large-scale real-time graphics application development.

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 stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

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