$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is hiring a senior engineer to design and build distributed storage services optimized for AI/ML workloads, working across the company's graphics, autonomous vehicles, and deep learning divisions. You'll architect and deliver large-scale storage systems on Kubernetes, collaborating with research and product teams to create deployable, scalable cloud infrastructure.
Our summary, not NVIDIA’s wording. The full posting is on their site.
What they ask for
Required
- Bachelor's degree in Computer Science or related field, or equivalent experience
- 8+ years of industry experience
- Strong background developing distributed systems with Go, Kubernetes, and cloud providers
- Track record delivering distributed services in multiple computing environments
- Experience implementing storage services for scalable, high-performance solutions
- Ownership of product delivery from inception to support
- Enterprise software development experience
- Kubernetes deployment, management, and debugging experience
- Strong communication and presentation skills
Nice to have
- Experience architecting and deploying large-scale distributed services on multi-petabyte to exabyte clusters with millions of users
- Ownership through all lifecycle stages of software development and delivery
- Interest in GPU-accelerated computing environments, GPU Direct Storage, DPU, and RDMA
- Track record building and delivering cloud services focused on distributed systems