NVIDIA is looking for an excellent Software Engineer to join the network management team. The team develops software responsible for configuring network devices. routing algorithms and performance optimizations in InfiniBand networks powering world top supercomputers. For research and testing purposes, we also develop large-scale InfiniBand network simulators.
What you’ll be doing:
Design and develop user-space applications responsible for simulation large scale InfiniBand networks of thousands of network devices
Improve performance and optimize algorithms for using the simulator in Docker and cloud setups
Collaborate with multiple teams in our multi-functional environment on developing new features/improvements
What we need to see:
B.Sc. in Computer Science or Software Engineering or equivalent experience
4+ years of experience as Software Engineer, including experience with C/C++
Self and quick learning abilities
Ways to stand out from the crowd:
Proficient knowledge in C/C++
Excellent social and written communication skills
Knowledge of network topologies design and routing algorithms
NVIDIA has continuously reinvented itself over two decades. 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. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse 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, colour, 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. in Computer Science or Software Engineering or equivalent experience
- 4+ years of experience as a Software Engineer
- Experience with C/C++
- Self-directed and quick learning abilities
- Excellent social and written communication skills
- Knowledge of network topologies design and routing algorithms
- Experience optimizing for Docker and cloud setups
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.”
