NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team. We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for automation and develop many tools in-house yet adopt community accepted practices and frameworks. Moreover we give back to community developing our own tools in public GitHub repositories. Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements.
What you'll be doing:
Developing AI networking communication frameworks and applications running in production on the world’s largest supercomputers and data centers.
Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA.
Enable new AI models within our benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks.
Design and implement automation systems, including large-scale parameter search to identify optimal configurations across complex systems.
Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.
What we need to see:
B.Sc., M.Sc degree in Computer Science / Software engineering or equivalent experience.
5+ years of experience.
Professional Python development experience. We seek individuals who build maintainable, long-lived tools that do not impose a heavy burden on the team in terms of maintenance.
Solid Linux expertise and passion for working extensively in command-line environments.
Ability to work across a broad and evolving stack, with a strong drive to learn—from hardware and networking up to large-scale AI systems running across entire clusters
Ways to stand out from the crowd:
Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training.
Familiarity with cluster orchestration systems such as Slurm or Kubernetes.
Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking.
Experience in performance optimizations
For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- B.Sc. or M.Sc. in Computer Science/Software Engineering or equivalent experience.
- 5+ years of professional software development experience.
- Professional Python development experience (building maintainable, long-lived tools).
- Solid Linux expertise and extensive command-line experience.
- Ability to work across hardware, networking, and large-scale AI systems and strong drive to learn.
- Knowledge and/or experience with PyTorch, LLMs, inference and training.
- Familiarity with cluster orchestration systems such as Slurm or Kubernetes.
- Knowledge in MPI and HPC, InfiniBand, Ethernet and networking.
- Experience in performance optimization and benchmarking at scale.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
