Senior Distributed Systems Engineer

NVIDIA Omniverse™ Cloud is a platform-as-a-service (PaaS) that provides developers and enterprises a full-stack cloud environment to design, develop, and deploy industrial Omniverse applications. The Omniverse Infrastructure organization develops hardware and software systems to power the Omniverse Cloud.

What you will be doing:

• Architect, design, build, and optimize distributed systems.
• Drive end-to-end Omniverse platform optimization from a hardware level to the application and service levels.
• Develop infrastructure and microservices to support Omniverse users and developers in the deployment of a wide range of workloads.
• Address challenges related to compute, networking, and storage resource utilization in a heterogeneous computing environment.
• Collaborate with multiple Omniverse product teams to understand customer storage and compute requirements and build supporting infrastructure.
• Collaborate across org boundaries with a diverse set of engineers.
• Adapt and/or develop performance modeling and analysis tools to identify and optimize performance bottlenecks in Omniverse workloads and drive future system designs.
• Ability to multitask effectively in a dynamic environment.

What we need to see:

• Masters or PhD in Computer Science or a related field (or equivalent experience).
• 5+ years of hands-on software engineering experience building large-scale distributed, fault-tolerant systems and services.
• Strong systems programming skills, including multi-threading, concurrency, caching, and batching.
• Proficiency in C, C++, and Python. Experience with cloud infrastructure platforms like AWS, Azure, and Google Cloud.
• Solid technical foundation and a deep understanding of cloud technologies, distributed systems, and microservices architecture.
• Excellent interpersonal skills and ability to work successfully with multi-functional teams, principles, and architects across organizational boundaries and geographies.
• Understanding of virtualization and containerization technologies like Docker, Kubernetes, VMware, KVM, etc.

Ways to stand out from the crowd:

• Hands-on experience in performance optimization and benchmarking on large-scale distributed systems.
• Experience in developing large-scale distributed applications and services on supercomputing and/or cloud environments.
• Experience with NVIDIA GPUs, HPC storage, networking, and cloud computing.
• In-depth understanding of storage systems, Linux file systems, and RDMA networking.
• Share references to your code contributions.