About the role

Aplyr's Quick Take

This role is for a Software Engineer focused on developing AI infrastructure solutions in GPU networking. You'll be working on advanced projects and proofs of concept, collaborating with various teams to integrate software and hardware technologies. It's an individual contributor role that requires strong technical skills in networking and virtualization.

Good fit

Ideal candidates have a background in Computer Science or Electrical Engineering, with at least a year of software engineering experience. You should be proactive, enjoy teamwork, and be comfortable in a fast-paced, multinational environment.

Worth noting

The position emphasizes collaboration across multiple teams and technologies, which may appeal to those who thrive in diverse work settings. However, the job spec lacks detail on specific day-to-day tasks, which could be a concern for some applicants.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking!

What you’ll be doing:

Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.
Demonstrate team architectural concepts with larger NVIDIA AI software stacks.
Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

What we need to see:

Hold at least B.Sc. (or last year of studies) in Computer Science, Electrical or Computer Engineering from a reputable university
Experienced in virtualization, networking
Proficient in C/C++ over Linux OS Development
Skilled with gen-AI coding tools
1+ years of proven experience as a software engineer
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

Experience in development of Linux drives and networking stack
Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents)
Experience in Kubernetes
Stellar communication skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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.
Synthesized from recent postings & public sources

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

nvidia.com

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NVDA$223.96+2.27%

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.