2 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Design, build, deploy, and operate internal tooling for large-scale AI training and inference platforms.
- Conduct performance characterization and analysis across large multi-GPU and multi-node clusters.
- Manage the full service lifecycle from system design and launch through production operation and refinement.
- Provide system design consulting, develop software tools and platforms, manage capacity, and participate in launch reviews.
- Monitor availability, latency, and system health while improving reliability, scalability, and deployment velocity.
- Automate routine operations, participate in on-call support, and conduct sustainable incident response and blameless postmortems.
Requirements
- Bachelor’s degree in Computer Science or a related technical field involving coding, or equivalent experience.
- At least 5 years of experience.
- Background in infrastructure automation and distributed systems architecture for large-scale private or public cloud platforms in production.
- Experience with one or more of Python, Go, C, C++, or Java.
- Comprehensive understanding of one or more of Linux, networking, storage, or container technologies.
- Experience with public cloud, Infrastructure as Code, and Terraform.
- Demonstrated ability to initiate projects, collaborate effectively, communicate clearly, solve problems systematically, and take ownership.
- Experience operating large private or public cloud systems based on Kubernetes or Slurm is a preferred qualification.
Benefits
- Eligible for equity and benefits.
- NVIDIA provides support and mentorship to foster learning and growth.
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.