About the role
The NVIDIA Infrastructure Group is seeking world-class programmers to design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips. In this role, you will help build the core verification infrastructure that drives the development of our GPU and Tegra chips.
This strongly object-oriented C++ and Python infrastructure encompasses several extensive applications that allow us to efficiently verify the world's largest chips with a sophisticated distributed computing execution and triage environment. Come and join our diverse, international, fast-paced team with high production-quality standards.
What You’ll Be Doing:
Developing environments to program and test next-generation GPU and SoC features well before they are integrated into products or supported by driver software. Every day brings new and meaningful challenges.
Collaborating with colleagues across architecture, hardware, and software teams to unlock the functionality and performance of next-generation NVIDIA chips.
Participating in the full chip development lifecycle—from architectural specification through release to production.
What We Need to See:
BS or MS (or equivalent experience) in CS, CE, EE, or a related field.
2+ working year experience and strong proficiency in C++ programming.
Familiarity with compute architecture, OS design, or driver development (a strong plus).
Python programming experience (a plus).
Excellent communication skills.
Fluent in spoken English.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. You’ll work alongside some of the most brilliant and talented engineers in the world. With our unprecedented growth, our extraordinary engineering teams are expanding rapidly. If you are a creative, autonomous engineer with a genuine passion for technology, we want to hear from you.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
