NVIDIA is spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven senior software engineer for the design and development of our internal advanced AI-networking simulation service. The simulation service is a critical tool for developing and improving NVIDIA’s AI system offering and has direct influence on HW and SW design, network architecture, performance characterization and optimization.
In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.
What you'll be doing:
Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project.
Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator.
Improve the quality of the simulation as a software product, ensuring robustness and reliability.
Expose the simulation as a service to facilitate easier access for different stakeholders.
Enhance simulation runtime and memory consumption through creative optimization techniques.
Integrate a new simulation management system, making simulated experiments data accessible to all users.
Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.
What we need to see:
BSc or above in Computer Science, Computer Engineering, or a related field.
5+ years of relevant practical experience in software development, including significant work on a large-scale software system with strict performance considerations.
Proficiency in C++ and Python with knowledge of optimization techniques for improving system performance.
In-depth knowledge of computer science fundamentals, and computer architecture.
Excellent system perspective – you must be able to grasp the impact each layer on the system and the users.
Independent and motivated individual with strong communication skills.
Ways to stand out from the crowd:
Development experience in a large, multidisciplinary simulation environment with many collaborators and diverse technical challenges.
Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators)
Knowledge of multi-core computation, code parallelization and relevant technologies (e.g. MPI)
Prior experience with cloud computing and parallelization of computational workloads
Experience in developing CI/CD pipelines and integrating services
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are expanding rapidly. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
We are committed to fostering a diverse work environment and are 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation
#LI-Hybrid
Skills Required
- BSc or above in Computer Science, Computer Engineering, or a related field
- 5+ years of relevant software development experience on large-scale performance-critical systems
- Proficiency in C++
- Proficiency in Python
- Knowledge of optimization techniques for improving system performance
- In-depth knowledge of computer science fundamentals and computer architecture
- Strong system perspective, independent work style, and strong communication skills
- Development experience in large, multidisciplinary simulation environments
- Familiarity with discrete event simulators (OMNeT++, SystemC, or similar)
- Knowledge of multi-core computation, code parallelization and MPI
- Prior experience with cloud computing and parallelization of computational workloads
- Experience developing CI/CD pipelines and integrating services
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.
-
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.
-
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.
-
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.”
.png)
