Scientific Software Engineers

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Company Name:
Nvidia

Senior System Software Engineer - Scientific Computing PaaS

Locations: US, CA, Santa Clara; US, Remote

Time type:
Full time

Posted on:
Posted Today

job requisition

• Design, Build, Deploy, and Operate Cloud-native microservices and APIs for scientific computing workload on DGX cloud.
• Design services and take ownership of underlying cloud infrastructure for physics-informed and data-driven scientific workflows.
• Design novel algorithms and actively engage with operations to increase overall system performance, spanning across the stack e.g. deep understanding of application code e.g. DL Framework, Numerical Solvers, Microservices, APIs, and Heterogeneous accelerated computing with CPUs and GPUs.
• Design, Build, Deploy, and Operate scalable I/O infrastructure for checkpointing, data loading, pre & post-processing of data.
• Optimize compute, storage, and network architecture specific to physics & simulation-driven applications.

• BS/MS degree in Computer Science or related areas or equivalent experience.
• 10+ years experience working on building and operating distributed compute and data-intensive platform as a service on cloud.
• Proven skill in a compiled language (Go, Rust, C++ or otherwise).
• Strong foundational knowledge in Cloud Computing e.g. "The Datacenter is a Computer" architecture, cloud security architecture, virtualization - CPU, Memory and IO, Resource pooling and elasticity.
• Proven skills in Distributed Systems & Parallel Processing e.g. System model of distributed computation e.g. topology abstraction, logical time. Synchronization and deadlock detection in distributed systems, Fault Tolerance and Failure Detection, Consensus and Agreement protocols, Parallel algorithms, shared memory and distributed memory architecture, message passing (MPI, NCCL), Cluster scalability and performance.
• Hands-on Debugging skills with Process, Threads, Deadlock and Synchronization, Scheduling, IPC, Memory management, File system, and I/O structure.
• Strong Evidence of Algorithmic Thinking & System Design skills e.g. Recursion, Graph, Tree, Stack, and Queue, Large scale loosely coupled distributed system design and operational experience.
• Be self-motivated, have strong interpersonal skills, and be able to work independently with multiple teams with minimal direction.

• Have built, deployed, and operated AI platforms on HPC clusters. Have built, deployed, and operated cloud-native system including distributed storage, scheduling, and orchestration among compute, storage, and network.
• Configuring and troubleshooting hardware, operating systems, kernels, compilers for maximum performance.
• Hands-on debugging skills to optimize performance of compute, networking, and I/O framework. Extensively worked on third-party source code for debugging and customization.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.