NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You'll Be Doing:
You will be part of the block storage engineering team and will play a key role in delivering cloud native enterprise grade storage service.
Lead the team, design, develop and maintain Python modules which model, discover and manipulate all aspects of our distributed system
Develop and support Python tools for both internal and customer users using the above modules
Develop and maintain Bash scripts used for deploying the system on both physical and cloud nodes of varying Linux flavors
Deploy and maintain servers and scripts for Continuous Integration using Gitlab and Jenkins
Work with other development teams to model and support ongoing new features in the system
Support the QA team in developing automated test development using our libraries
What We Need To See:
B.Sc. in Computer Science or equivalent experience
12+ years of relevant experience
3+ years in a leadership role managing software development teams, with proven success leading projects.
Strong experience & excellent understanding of Python (object oriented) is required.
Strong knowledge of Linux commands and Bash scripting
Good understanding of Continuous Integration processes and tools
Strong sense of ownership of what you develop
Ability to work both independently and as part of a team
Ways to Stand Out From the Crowd:
Experience developing object-oriented, multi-threaded Python applications
Hands-on experience with Gitlab and Jenkins
Understanding and experience with containers, Docker and Kubernetes
Experience with cloud platforms (Azure, GCP, AWS)
Knowledge of storage and networking
Skills Required
- B.Sc. in Computer Science or equivalent experience
- 12+ years of relevant experience
- 3+ years in a leadership role managing software development teams
- Strong experience with Python
- Strong knowledge of Linux commands and Bash scripting
- Good understanding of Continuous Integration processes and tools
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.”
