Nvidia is hiring a
Senior Distributed Systems Engineer
We are seeking a highly skilled Distributed Systems Engineer to join our Omniverse Infrastructure team. You will play a key role in designing, building, and optimizing large-scale distributed systems and infrastructure for the Omniverse Cloud. This is an extraordinary opportunity for a highly motivated and dedicated engineer who has in-depth understanding of distributed storage, high-performance networking, compute systems, and distributed system architecture.
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:
10+ years of hands-on software engineering experience.
10+ years of 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.
Masters or PhD in Computer Science or a related field (or equivalent experience).
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.
You will also be eligible for equity and benefits.
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