We are now looking for a Senior Software Engineer for Generative AI Research! At NVIDIA, we believe the next generation of AI will be physical AI – systems that perceive, reason, and act in the real world. Building these models requires building robust systems that span across large-scale compute, multimodal datasets, simulation-driven synthetic data, and real-time reasoning for robots and autonomous systems.
Our Cosmos infrastructure team sits at the heart of this mission. We build the systems that make it possible to train Cosmos, NVIDIA’s world foundation model for physical AI. Cosmos enables large-scale AI models for robots, autonomous agents, and AI systems to understand, plan, and act in complex environments. Our team develops the Cosmos platform infrastructure that powers model training, data pipelines, simulation, and deployment at scale, enabling research and production to move faster and more efficiently than ever before. This role is a unique opportunity to work on infrastructure that directly enables physical AI at scale – from optimizing massive data pipelines to designing training workflows that support foundation models, and from scaling distributed compute systems to building the backbone for simulation-driven experimentation.
What You’ll Be Doing:
Design, build, and operate scalable infrastructure for training Cosmos and supporting large-scale data pipelines
Develop high-throughput systems for data processing, retrieval, and workflow orchestration
Collaborate across research, optimization, and platform teams to accelerate experiments and deployments
Improve system reliability, performance, and observability across distributed compute environments
Contribute to long-term infrastructure strategy for training, data management, and large-scale compute efficiency
What We Need to See:
A Masters Degree in Computer Science, Computer Engineering, related STEM Degree, or equivalent experience.
Strong engineering background in distributed systems, ML infrastructure, or large-scale compute/data platforms with 6 years of relevant work experience
Proficiency in Python and at least one systems language (e.g., C++/Go/Rust)
Experience with orchestration systems, scheduling, and scalable storage or data pipelines
Ability to work across teams, drive technical clarity, and deliver robust solutions in complex environments
Comfortable bridging research workflows and production-grade systems
Ways to Stand Out from the crowd:
Experience building or optimizing infrastructure for large-scale model training
Hands-on work with distributed compute environments or high-performance systems
Familiarity with synthetic data, simulation pipelines, or large multimodal datasets
Contributions to open-source infrastructure or large-scale internal tooling
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
- Masters Degree in Computer Science or related STEM Degree
- 6 years of relevant work experience in distributed systems or large-scale data platforms
- Proficiency in Python and one systems language (C++, Go, or Rust)
- Experience with orchestration systems and scalable data pipelines
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.”
