Senior Storage Infrastructure Software Engineer - EDA Infrastructure at NVIDIA USA in US, CA, Santa Clara focuses on NVIDIA’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s. We are looking for a highly motivated senior software development engineer to develop and deploy software storage management systems for NVIDIA's worldwide design engineering teams.
NVIDIA’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s of heterogeneous servers and petabytes of high-performance shared storage. We are looking for a highly motivated senior software development engineer to develop and deploy software storage management systems for NVIDIA's worldwide design engineering teams. Collaborate with internal customers and partners, working with technical teams to build and implement efficient software storage systems that improve engineering efficiency and benefit NVIDIA's business.
What you'll be doing:
- Collaborate with HW and SW engineering teams to define new features for distributed software storage systems.
- Craft and develop scalable, distributed, storage management system solutions written in Perl and Python
- Work closely with team members and internal customers to optimize workflow efficiency and scalability.
- Drive improvements to SW design and test processes to improve velocity and deliver very high production quality.
- Directly contribute to the overall quality of and improve time to market for our next generation HW products and technologies.
What we need to see:
- Development background in Linux software development, storage systems and networked distributed systems.
- A solid understanding of storage concepts such as volumes, snapshots, clones, and deduplication.
- Ability to drive architectural design decisions from data and estimates to balance cost, performance, reliability, and scalability to meet defined goals.
- Ability to collaborate with peers and customers to align on testing and adoption plans.
- Flexibility/adaptability for working in a fast-paced environment with exciting problems to solve.
- Development experience with Perl and Python
- MS (preferred) or BS in Computer Science or related field (or equivalent experience) with 5+ years of relevant experience.
Ways to stand out from the crowd:
- Background with NetApp systems and ASIC workflow
- Exposure to Cursor AI
- Prior experience in infrastructure software, production application software development, release and support methodologies using DevOps tools and approach
- Experience in the management of datacenters and large-scale distributed computing and storage systems
- Consistent track record of driving process improvements, measuring efficiency and passionate about collaborating and managing complex projects end-to-end
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.