2 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Define features for distributed software storage systems with hardware and software engineering teams.
- Develop scalable storage management systems in Perl and Python.
- Optimize workflow efficiency and scalability with internal customers and team members.
- Drive improvements to software design and testing processes.
- Improve production quality and time to market for next-generation hardware products and technologies.
- Make architectural decisions balancing cost, performance, reliability, and scalability.
- Coordinate testing and adoption plans with peers and customers.
Requirements
- Experience with Linux software development, storage systems, and networked distributed systems.
- Strong understanding of volumes, snapshots, clones, and deduplication.
- Ability to make data-driven architectural decisions and balance cost, performance, reliability, and scalability.
- Development experience with Perl and Python.
- Bachelor’s degree in computer science or a related field, or equivalent experience; a master’s degree is preferred.
- 5+ years of relevant experience.
- Preferred experience with NetApp systems, ASIC workflows, infrastructure software, datacenter management, large-scale distributed computing and storage systems, Cursor AI, and DevOps tools and practices.
Benefits
- Competitive salary, equity, and benefits package.
- Hybrid work arrangement.
- Applications accepted at least until October 3, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.